Dimitris Bertsimas

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Dimitris Bertsimas

Mathematics

#1431

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#2355

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Operations Research

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Applied Mathematics

#59

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#70

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Measure Theory

#257

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#404

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mathematics Degrees

Dimitris Bertsimas

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#2807

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#4682

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Logic

#799

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#1336

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Mathematics
Philosophy

Dimitris Bertsimas's Degrees

PhD Operations Research Cornell University
Masters Electrical Engineering and Computer Science Stanford University
Bachelors Electrical Engineering National Technical University of Athens

Why Is Dimitris Bertsimas Influential?

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According to Wikipedia, Dimitris Bertsimas is an American applied mathematician, and a professor in the Sloan School of Management at the Massachusetts Institute of Technology , Cambridge, Massachusetts. In 2005, Bertsimas was elected a member of the National Academy of Engineering for contributions to optimization theory and stochastic systems and innovative applications in financial engineering and transportation.

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Dimitris Bertsimas's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

The Price of Robustness (2004) (3981)
Introduction to linear optimization (1997) (2830)
Theory and Applications of Robust Optimization (2010) (2303)
Robust discrete optimization and network flows (2003) (1821)
Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem (2013) (1349)
Optimal control of execution costs (1998) (946)
A Robust Optimization Approach to Inventory Theory (2006) (615)
The Air Traffic Flow Management Problem with Enroute Capacities (1998) (582)
Best Subset Selection via a Modern Optimization Lens (2015) (545)
Robust linear optimization under general norms (2004) (511)
The Price of Fairness (2011) (504)
Data-driven robust optimization (2013) (482)
Optimal Inequalities in Probability Theory: A Convex Optimization Approach (2005) (467)
A Stochastic and Dynamic Vehicle Routing Problem in the Euclidean Plane (1991) (445)
Optimal classification trees (2017) (443)
A Vehicle Routing Problem with Stochastic Demand (1992) (437)
Optimization over integers (2005) (374)
Constructing Uncertainty Sets for Robust Linear Optimization (2009) (349)
A New Generation of Vehicle Routing Research: Robust Algorithms, Addressing Uncertainty (1996) (338)
Tractable Approximations to Robust Conic Optimization Problems (2006) (335)
Robust game theory (2006) (323)
From Predictive to Prescriptive Analytics (2014) (315)
Shortfall as a risk measure: properties, optimization and applications (2004) (297)
Stochastic and Dynamic Vehicle Routing in the Euclidean Plane with Multiple Capacitated Vehicles (1993) (286)
Robust and Data-Driven Optimization: Modern Decision-Making Under Uncertainty (2006) (281)
Revenue Management in a Dynamic Network Environment (2003) (277)
Restless Bandits, Linear Programming Relaxations, and a Primal-Dual Index Heuristic (2000) (262)
The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach (2000) (258)
A Priori Optimization (1990) (258)
Algorithm for cardinality-constrained quadratic optimization (2009) (251)
Solving convex programs by random walks (2004) (240)
The Multi-Airport Ground-Holding Problem in Air Traffic Control (1992) (239)
An Integer Optimization Approach to Large-Scale Air Traffic Flow Management (2011) (236)
Optimality of Affine Policies in Multistage Robust Optimization (2009) (224)
On the Relation Between Option and Stock Prices: A Convex Optimization Approach (2002) (224)
Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion (2010) (215)
On the Efficiency-Fairness Trade-off (2012) (214)
Probabilistic combinatorial optimization problems (1988) (205)
Robust multiperiod portfolio management in the presence of transaction costs (2008) (195)
Optimization of multiclass queuing networks: polyhedral and nonlinear characterizations of achievable performance (1994) (194)
Survivable networks, linear programming relaxations and the parsimonious property (1993) (190)
On the power and limitations of affine policies in two-stage adaptive optimization (2012) (187)
Algorithmic Prediction of Health-Care Costs (2008) (187)
Finite Adaptability in Multistage Linear Optimization (2010) (183)
A Robust Optimization Approach to Supply Chain Management (2004) (181)
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation (2013) (178)
Robust sample average approximation (2014) (177)
From Predictive Methods to Missing Data Imputation: An Optimization Approach (2017) (176)
A Soft Robust Model for Optimization Under Ambiguity (2010) (173)
Simulation-Based Booking Limits for Airline Revenue Management (2005) (158)
Adaptive Distributionally Robust Optimization (2019) (158)
Tractable stochastic analysis in high dimensions via robust optimization (2012) (154)
An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems (2002) (152)
Conservation laws, extended polymatroids and multi-armed bandit problems: a unified approach to ind exable systems (2011) (148)
Data-driven estimation in equilibrium using inverse optimization (2013) (148)
Surgical Risk Is Not Linear: Derivation and Validation of a Novel, User-friendly, and Machine-learning-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator (2018) (148)
Dynamic Ground-Holding Policies for a Network of Airports (1994) (147)
Conservation Laws, Extended Polymatroids and Multiarmed Bandit Problems; A Polyhedral Approach to Indexable Systems (1996) (134)
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications (2019) (134)
Computational Approaches to Stochastic Vehicle Routing Problems (1995) (130)
A Hierarchy of Near-Optimal Policies for Multistage Adaptive Optimization (2011) (130)
Sparse high-dimensional regression: Exact scalable algorithms and phase transitions (2017) (125)
Robust Optimization for Unconstrained Simulation-Based Problems (2010) (123)
The probabilistic vehicle routing problem (1988) (122)
Hedging Derivative Securities and Incomplete Markets: An Formula-Arbitrage Approach (2001) (120)
Constrained Stochastic LQC: A Tractable Approach (2007) (120)
Further results on the probabilistic traveling salesman problem (1993) (119)
Dynamic Pricing: A Learning Approach (2006) (119)
Portfolio Construction Through Mixed-Integer Programming at Grantham, Mayo, Van Otterloo and Company (1999) (116)
Classification and Regression via Integer Optimization (2007) (115)
Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization (2015) (115)
The Air Traffic Flow Management Problem: An Integer Optimization Approach (2008) (114)
When is Time Continuous? (1998) (112)
COVID-19 mortality risk assessment: An international multi-center study (2020) (112)
Performance of Multiclass Markovian Queueing Networks Via Piecewise Linear Lyapunov Functions (2001) (111)
Stochastic and dynamic vehicle routing with general demand and interarrival time distributions (1993) (109)
Multistage Robust Mixed-Integer Optimization with Adaptive Partitions (2016) (109)
Personalized Diabetes Management Using Electronic Medical Records (2016) (105)
On the Power of Robust Solutions in Two-Stage Stochastic and Adaptive Optimization Problems (2010) (105)
Inverse Optimization: A New Perspective on the Black-Litterman Model (2012) (101)
Restaurant Revenue Management (2003) (101)
Fluid models of sequencing problems in open queueing networks; an optimal control approach (1995) (100)
OR Forum - An Algorithmic Approach to Linear Regression (2016) (98)
Characterization of the equivalence of robustification and regularization in linear and matrix regression (2017) (98)
Stability conditions for multiclass fluid queueing networks (1996) (96)
Locating Discretionary Service Facilities, II: Maximizing Market Size, Minimizing Inconvenience (1995) (96)
Robust optimization with simulated annealing (2010) (95)
A Learning Approach for Interactive Marketing to a Customer Segment (2007) (94)
Optimality of affine policies in multi-stage robust optimization (2009) (94)
Reformulation versus cutting-planes for robust optimization (2015) (92)
Asymptotically Optimal Algorithms for Job Shop Scheduling and Packet Routing (1999) (91)
Moment Problems and Semidefinite Optimization (2000) (91)
Equitable and Efficient Coordination in Traffic Flow Management (2012) (89)
Nonconvex Robust Optimization for Problems with Constraints (2010) (86)
Depression and costs of health care. (2009) (86)
On Dependent Randomized Rounding Algorithms (1996) (84)
Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems (2001) (81)
Semidefinite Relaxations, Multivariate Normal Distributions, and Order Statistics (1998) (81)
Optimal control of execution costs for portfolios (1999) (80)
The probabilistic minimum spanning tree problem (1990) (78)
An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer (2016) (78)
A New Algorithm for State-Constrained Separated Continuous Linear Programs (1999) (78)
Logistic Regression: From Art to Science (2017) (76)
Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach (1998) (76)
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States (2022) (76)
The Distributional Little's Law and Its Applications (1995) (75)
A hybrid approach to beam angle optimization in intensity-modulated radiation therapy (2013) (74)
A Geometric Characterization of the Power of Finite Adaptability in Multistage Stochastic and Adaptive Optimization (2011) (74)
Robust Queueing Theory (2015) (73)
Duality in Two-Stage Adaptive Linear Optimization: Faster Computation and Stronger Bounds (2016) (72)
Models and algorithms for transient queueing congestion at airports (1995) (71)
An Analytic Approach to a General Class of G/G/s Queueing Systems (1990) (70)
Fairness and Collaboration in Network Air Traffic Flow Management: An Optimization Approach (2016) (70)
On the large deviations behavior of acyclic networks of $G/G/1$ queues (1998) (68)
The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples (2015) (68)
Robust Classification (2019) (67)
Persistence in discrete optimization under data uncertainty (2006) (67)
Probabilistic Combinatorial Optimization: Moments, Semidefinite Programming, and Asymptotic Bounds (2004) (66)
The Minimum Spanning Tree Constant in Geometrical Probability and Under the Independent Model: A Unified Approach (1992) (65)
Binary decision rules for multistage adaptive mixed-integer optimization (2018) (65)
Optimal Selection of Airport Runway Configurations (2011) (64)
Least quantile regression via modern optimization (2013) (64)
Optimal Prescriptive Trees (2019) (64)
Large deviations analysis of the generalized processor sharing policy (1999) (63)
Development and validation of an optimized prediction of mortality for candidates awaiting liver transplantation (2018) (59)
Sparse Regression: Scalable Algorithms and Empirical Performance (2019) (58)
Special Issue Papers: Dynamic pricing and inventory control for multiple products (2005) (57)
Robust and Adaptive Network Flows (2013) (57)
Solving asymmetric variational inequalities via convex optimization (2006) (56)
Transient laws of non-stationary queueing systems and their applications (1997) (55)
TIGHT BOUNDS ON EXPECTED ORDER STATISTICS (2006) (54)
Robust option pricing (2014) (53)
From fluid relaxations to practical algorithms for job shop scheduling: the makespan objective (2002) (53)
Worst-case examples for the spacefilling curve heuristic for the Euclidean traveling salesman problem (1989) (52)
Robust Product Line Design (2017) (52)
A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization (2014) (52)
Data, models, and decisions - the fundamentals of management science (2000) (52)
Rounding algorithms for covering problems (1998) (52)
Optimization of Multiclass Queueing Networks with Changeover Times Via the Achievable Region Approach: Part I, the Single-Station Case (1999) (51)
Forecasting COVID-19 and Analyzing the Effect of Government Interventions (2020) (49)
The voice of optimization (2018) (49)
Traveling Salesman Facility Location Problems (1989) (48)
Optimal Design for Multi-Item Auctions: A Robust Optimization Approach (2014) (48)
The achievable region method in the optimal control of queueing systems; formulations, bounds and policies (1995) (47)
Robust Discrete Optimization (2003) (46)
An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability (1990) (46)
STOCHASTIC AND DYNAMIC VEHICLE ROUTING PROBLEM IN THE EUCLIDEAN PLANE WITH MULTIPLE CAPACITATED VEHICLES. (1993) (45)
Deducing queueing from transactional data: the queue inference engine, revisited (1990) (44)
From Fluid Relaxations to Practical Algorithms for High-Multiplicity Job-Shop Scheduling: The Holding Cost Objective (2003) (44)
On the power of randomization in network interdiction (2013) (44)
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports (2020) (44)
Exact First-Choice Product Line Optimization (2017) (43)
Multivariate Statistics and Machine Learning Under a Modern Optimization Lens (2015) (43)
Revealing Rival Marginal Offer Prices Via Inverse Optimization (2013) (42)
From valid inequalities to heuristics: a unified view of primal-dual approximation algorithms in covering problems (1995) (42)
On the performance of affine policies for two-stage adaptive optimization: a geometric perspective (2014) (41)
On the approximability of adjustable robust convex optimization under uncertainty (2012) (41)
Interpretable clustering: an optimization approach (2020) (41)
Inventory Management in the Era of Big Data (2016) (40)
Online Mixed-Integer Optimization in Milliseconds (2019) (40)
From predictions to prescriptions: A data-driven response to COVID-19 (2020) (39)
When is time continuous (2000) (39)
Dynamic resource allocation: A flexible and tractable modeling framework (2014) (38)
Probabilistic Analysis of the Held and Karp Lower Bound for the Euclidean Traveling Salesman Problem (1991) (37)
Robust optimization in electromagnetic scattering problems (2007) (37)
Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer. (2018) (36)
Solving convex programs by random walks (2002) (36)
Robust and data-driven approaches to call centers (2010) (36)
A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave (2021) (36)
Travel Time Estimation in the Age of Big Data (2019) (35)
On Central Limit Theorems in Geometrical Probability (2015) (35)
Bootstrap robust prescriptive analytics (2017) (35)
Optimizing schools’ start time and bus routes (2019) (34)
A New Algebraic Geometry Algorithm for Integer Programming (2000) (34)
Decomposition Algorithms for Analyzing Transient Phenomena in Multiclass Queueing Networks in Air Transportation (2015) (33)
A Critical Survey of Optimization Models for Tactical and Strategic Aspects of Air Traffic Flow Management (1998) (33)
Adaptability via sampling (2007) (33)
An exact FCFS waiting time analysis for a general class of G/G/s queueing systems (1988) (33)
Branching bandits and Klimov's problem: achievable region and side constraints (1994) (33)
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems (2017) (31)
A Scalable Algorithm for Sparse Portfolio Selection (2018) (31)
Dynamic Classification of Online Customers (2003) (31)
Multistage Lot Sizing Problems via Randomized Rounding (2001) (31)
Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules. (2019) (31)
Where to locate COVID‐19 mass vaccination facilities? (2021) (30)
Performance Analysis of Queueing Networks via Robust Optimization (2010) (30)
A Data-Driven Approach To Newsvendor Problems (2005) (30)
Two-stage sample robust optimization (2019) (30)
Certifiably Optimal Low Rank Factor Analysis (2016) (30)
Scheduling, revenue management, and fairness in an academic-hospital radiology division. (2014) (29)
A semidefinite optimization approach to the steady-state analysis of queueing systems (2007) (29)
Optimal healthcare decision making under multiple mathematical models: application in prostate cancer screening (2016) (28)
Bounds on linear PDEs via semidefinite optimization (2006) (28)
Optimizing Vaccine Allocation to Combat the COVID-19 Pandemic (2020) (28)
The dynamic traveling repairman problem (1989) (27)
Learning Preferences Under Noise and Loss Aversion: An Optimization Approach (2013) (27)
Multiclass Queueing Systems in Heavy Traffic: An Asymptotic Approach Based on Distributional and Conservation Laws (1997) (27)
The Trimmed Lasso: Sparsity and Robustness (2017) (27)
Data-driven learning in dynamic pricing using adaptive optimization (2014) (26)
Personalized treatment for coronary artery disease patients: a machine learning approach (2019) (25)
Certifiably optimal sparse principal component analysis (2019) (25)
Unified Optimization of Traffic Flows Through Airports (2016) (25)
Prescriptive analytics for human resource planning in the professional services industry (2019) (25)
On the Steady-State Solution of the M/C2(a, b)/s Queueing System (1988) (25)
Transient and busy period analysis of theGI/G/1 queue: The method of stages (1992) (25)
Optimization over Continuous and Multi-dimensional Decisions with Observational Data (2018) (24)
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score (2020) (24)
Robust and stochastic formulations for ambulance deployment and dispatch (2019) (24)
On the parsimonious property of connectivity problems (1990) (24)
Improving air traffic management during thunderstorms (2005) (23)
An Analysis of the Guaranteed Withdrawal Benefits for Life Option (2008) (23)
A proposal for network air traffic flow management incorporating fairness and airline collaboration (2010) (23)
Data-driven assortment optimization (2015) (23)
The Price of Interpretability (2019) (23)
Machine Learning in Oncology: Methods, Applications, and Challenges. (2020) (23)
From Predictions to Prescriptions in Multistage Optimization Problems (2019) (23)
Dynamic optimization with side information (2019) (23)
Imputation of clinical covariates in time series (2018) (22)
Multistage Air Traffic Flow Management under Capacity Uncertainty: A Robust and Adaptive Optimization Approach (2011) (22)
Decomposable Markov Decision Processes: A Fluid Optimization Approach (2016) (21)
Predicting inpatient flow at a major hospital using interpretable analytics (2020) (21)
Optimal bidding in online auctions (2009) (20)
An Integer Optimization Approach to Associative Classification (2012) (20)
Balancing Efficiency and Fairness in Liver Transplant Access: Tradeoff Curves for the Assessment of Organ Distribution Policies (2020) (20)
Optimization of Polling Systems and Dynamic Vehicle Routing Problems on Networks (1993) (20)
Decomposition results for general polling systems and their applications (1999) (20)
Accept or Decline? An Analytics-Based Decision Tool for Kidney Offer Evaluation (2017) (20)
Sparse classification: a scalable discrete optimization perspective (2017) (20)
Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale (2020) (20)
Interpretable Clustering via Optimal Trees (2018) (19)
Robust chirped mirrors. (2008) (19)
A Data-Driven Approach for Multi-Stage Linear Optimization (2018) (19)
Transient and busy period analysis of the GI G/1 Queue as a Hilbert factorization problem (1991) (19)
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints (2019) (19)
OR Forum - Tenure Analytics: Models for Predicting Research Impact (2015) (18)
A simple and fast spectroscopy-based technique for Covid-19 diagnosis (2021) (18)
ORC: Ordered Rules for ClassificationA Discrete Optimization Approach to Associative Classification (2012) (18)
Robust Fluid Processing Networks (2014) (18)
The Analytics Edge (2016) (17)
A data-driven approach to multi-stage stochastic linear optimization (2020) (17)
A technique for speeding up the solution of the Lagrangean dual (1994) (17)
A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms (2019) (17)
Targeted Workup after Initial Febrile Urinary Tract Infection: Using a Novel Machine Learning Model to Identify Children Most Likely to Benefit from Voiding Cystourethrogram. (2019) (17)
Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients (2021) (16)
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach (1997) (16)
Nonlinear Formulations and Improved Randomized Approximation Algorithms for Multicut Problems (1995) (16)
Linear programming relaxations, approximation algorithms and randomization: A unified view of covering problems (1994) (16)
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality (2020) (16)
Validation of the Artificial Intelligence-Based Predictive Optimal Trees in Emergency Surgery Risk (POTTER) Calculator in Emergency General Surgery and Emergency Laparotomy Patients. (2021) (16)
The Power and Limits of Predictive Approaches to Observational Data-Driven Optimization: The Case of Pricing (2016) (16)
A Practically Efficient Approach for Solving Adaptive Distributionally Robust Linear Optimization Problems (2017) (16)
Mixed-Integer Optimization with Constraint Learning (2021) (16)
Short-term forecasting of COVID-19 in Germany and Poland during the second wave - a preregistered study (2020) (16)
Analysis of the stationary Ek/C2/s queueing system (1988) (15)
Sparse Convex Regression (2020) (15)
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control (2020) (15)
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework (2020) (15)
Geometric bounds for stationary distributions of infinite Markov chains via Lyapunov functions (1998) (15)
A practicable framework for distributionally robust linear optimization (2013) (15)
Robust Nonconvex Optimization for Simulation-based Problems (2007) (15)
Optimization of Multiclass Queueing Networks with Changeover Times Via the Achievable Region Method: Part Ii, the Multi-Station Case (1998) (15)
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization (2022) (14)
Pricing and Hedging Derivative Securities in Incomplete Markets: An E-Aritrage Model (1997) (14)
The parsimonious property of cut covering problems and its applications (2015) (14)
Scalable holistic linear regression (2019) (14)
On the worst case complexity of potential reduction algorithms for linear programming (1997) (14)
Portfolio construction through mixed integer programming (1998) (14)
Fairness in Air Traffic Flow Management ∗ (2009) (13)
An accelerated first-order method for solving SOS relaxations of unconstrained polynomial optimization problems (2013) (13)
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach (2021) (13)
Machine Learning for Real-Time Heart Disease Prediction (2021) (13)
Characterization of the equivalence of robustification and regularization in linear, median, and matrix regression (2014) (13)
Near-optimal Nonlinear Regression Trees (2021) (13)
Integrated multimodal artificial intelligence framework for healthcare applications (2022) (13)
Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach (2021) (13)
Computation of Convex Hull Prices in Electricity Markets With Non-Convexities Using Dantzig-Wolfe Decomposition (2020) (12)
Sparse Classification and Phase Transitions: A Discrete Optimization Perspective (2017) (12)
Introduction to the Special Issue on Business Analytics (2014) (12)
Analysis of LP relaxations for multiway and multicut problems (1999) (12)
Robust Maximum Likelihood Estimation (2019) (12)
Stochastic Dynamic Vehicle Routing in the Euclidean Plane: The Multiple-Server, Capacitated Vehicle Case (1990) (12)
On the Large Deviations Behaviour of Acyclic Networks of G / G / 1 Queues 1 (1994) (12)
A Scalable Algorithm for Two-Stage Adaptive Linear Optimization (2018) (11)
Clinical benefit, toxicity and cost of metastatic breast cancer therapies: systematic review and meta-analysis (2019) (11)
Approximating integrals of multivariate exponentials: A moment approach (2008) (11)
On the power and limitations of affine policies in two-stage adaptive optimization (2011) (11)
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints (2020) (11)
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation (2014) (11)
Statistics and Machine Learning via a Modern Optimization Lens (2014) (11)
A UNIFIED APPROACH TO MIXED-INTEGER OPTIMIZATION (2020) (11)
Optimizing over coherent risk measures and non-convexities: a robust mixed integer optimization approach (2015) (11)
A New Local Search Algorithm for Binary Optimization (2013) (11)
A unified method to analyze overtake free queueing systems (1996) (10)
The departure process from a GI/G/1 queue and its applications to the analysis of tandem queues (1990) (10)
Network Analysis for Predicting Academic Impact (2013) (10)
Using Artificial Intelligence to Find the Optimal Margin Width in Hepatectomy for Colorectal Cancer Liver Metastases. (2022) (10)
Pricing from Observational Data (2016) (10)
An asymptotically optimal algorithm for job shop scheduling (1999) (9)
Identifying Exceptional Responders in Randomized Trials: An Optimization Approach (2019) (9)
On Polyhedral and Second-Order-Cone Decompositions of Semidefinite Optimization Problems (2019) (9)
Reformulation versus cutting-planes for robust optimization A computational study (2015) (9)
The general distributional Little's law and its applications (1991) (9)
Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach. (2019) (9)
Probabilistic Guarantees in Robust Optimization (2021) (9)
Technical Note - Two-Stage Sample Robust Optimization (2021) (9)
Overview of DELPHI Model V3-COVIDAnalytics (2020) (9)
Optimal survival trees (2020) (8)
Interpretable Matrix Completion: A Discrete Optimization Approach (2018) (8)
Transient and Busy Period Analysis of the GI/G/1 Queue: Part I, the Method of Stages (2018) (8)
Integer Optimization Methods for Supervised Ranking (2011) (8)
Moneyball for Academics: Network Analysis for Predicting Research Impact (2014) (8)
Bus Routing Optimization Helps Boston Public Schools Design Better Policies (2020) (8)
Applications of Semidefinite Optimization in Stochastic Project Scheduling (2002) (8)
Certifiably optimal sparse inverse covariance estimation (2019) (8)
Relations between the prearrival and postdeparture state probabilities and the FCFS waiting time distribution in the Ek/G/s queue (1990) (8)
Robust Discrete Optimization and Downside Risk Measures (2006) (8)
Robust transient analysis of multi-server queueing systems and feed-forward networks (2018) (8)
Prediction with Missing Data (2021) (7)
Robust Transient Multi-Server Queues and Feedforward Networks (2014) (7)
Learning sparse nonlinear dynamics via mixed-integer optimization (2022) (7)
Bounds and Policies for Dynamic Routing in Loss Networks (1999) (7)
National and subnational short-term forecasting of COVID-19 in Germany and Poland, early 2021 (2021) (7)
Performance of multiclass Markovian queueing networks (2000) (7)
Regression and classification using optimal decision trees (2017) (7)
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients (2020) (7)
The rise and fall of the model for end-stage liver disease score and the need for an optimized machine learning approach for liver allocation. (2020) (7)
A Hierarchy of Near-Optimal Policies for (2011) (7)
COMPUTATIONAL APPROACHES TO STOCHASTIC VEHICLE ROUTING (1995) (7)
Automated Dynamic Resource Allocation for Wildfire Suppression (2017) (7)
Models and algorithms for transient queueing congestion in airline hub and spoke networks (1992) (6)
Stable Regression: On the Power of Optimization over Randomization in Training Regression Problems (2020) (6)
Tensor Completion with Noisy Side Information (2019) (6)
National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021 (2022) (6)
Stable Classification (2020) (6)
The Airlift Planning Problem (2019) (6)
Scalable Robust and Adaptive Inventory Routing (2016) (6)
Validation of the Al-based Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) Calculator in Patients 65 Years and Older (2020) (6)
Data-Driven Transit Network Design at Scale (2021) (6)
Covariate-Adaptive Optimization in Online Clinical Trials (2019) (6)
Closure to the Discussion of “Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem” (2014) (5)
Constructing approximation algorithms via linear programming relaxations: primal dual and randomized rounding techniques (1996) (5)
Scheduling multiclass queueing networks and job shops using fluid and semidefinite relaxations (1999) (5)
The backbone method for ultra-high dimensional sparse machine learning (2020) (5)
Distributionally Adaptive Optimization (2016) (5)
Asymptotic buffer overflow probabilities in multiclass multiplexers : part I : the GPS policy (1996) (5)
Option Pricing without Price Dynamics: A Probabilistic Approach (2006) (5)
Computation of Exact Bootstrap Confidence Intervals: Complexity and Deterministic Algorithms (2020) (5)
Robust convex optimization: A new perspective that unifies and extends (2022) (5)
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion (2020) (5)
On the spacefilling curve heuristic for the Eculidean traveling salesman problem (1988) (5)
A scalable algorithm for sparse and robust portfolios (2018) (5)
Network Information Theory via Robust Optimization (2012) (5)
Learning a Mixture of Gaussians via Mixed-Integer Optimization (2019) (4)
Asymptotic Buuer Overrow Probabilities in Multiclass Multiplexers: an Optimal Control Approach 1 (1996) (4)
Least Quantile of Squares Regression via Modern Optimization (2013) (4)
Sparse hierarchical regression with polynomials (2017) (4)
Stability and performance of multiclass queueing networks (1998) (4)
Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning (2021) (4)
Relative Robust and Adaptive Optimization (2019) (4)
Empirical Comparison of Robust , Data Driven and Stochastic Optimization (2009) (4)
TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures (2022) (4)
The K-server problem via a modern optimization lens (2019) (4)
A Hierarchy of Suboptimal Policies for the Multi-period , Multi-echelon , Robust Inventory Problem (2009) (4)
Fairness , Efficiency and Flexibility in Organ Allocation for Renal Transplantation (2010) (4)
Multitarget Tracking via Mixed Integer Optimization (2018) (4)
A mathematical programming approach to stochastic and dynamic optimization problems (1994) (4)
From Physical Properties of Transportation Flows to Demand Estimation: An Optimization Approach (2018) (3)
The United States COVID-19 Forecast Hub dataset (2022) (3)
Optimal Explanations of Linear Models (2019) (3)
Optimization of multiclass queueing networks: A linear control approach (2017) (3)
Measuring quality in diabetes care: an expert-based statistical approach (2013) (3)
Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score (2021) (3)
Nonlinear formulations and improved randomized approximation algorithms for multiway and multicut problems (1995) (3)
Prescriptive analytics for reducing 30-day hospital readmissions after general surgery (2020) (3)
Pareto Adaptive Robust Optimality via a Fourier-Motzkin Elimination Lens (2020) (3)
An Accelerated First-Order Method for Solving Unconstrained Polynomial Optimization Problems (2011) (3)
Prediction of Neutropenic Events in Chemotherapy Patients: A Machine Learning Approach. (2021) (3)
From School Buses to Start Times: Driving Policy With Optimization (2018) (3)
Improved Randomized Approximation Algorithms for Lot-Sizing Problems (1996) (3)
A new perspective on low-rank optimization (2021) (3)
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (Extended Abstract) (2020) (3)
Multivariate exponential integral approximations: a moment approach (2006) (3)
Toward Global Food Security: Transforming OCP Through Analytics (2022) (3)
Robust Transportation Network Design Under User Equilibrium (2008) (3)
Slowly Varying Regression under Sparsity (2021) (3)
Correction to "Stability Conditions for Multiclass Fluid Queueing Networks" (1997) (3)
Toward an Optimized Staging System for Pancreatic Ductal Adenocarcinoma: A Clinically Interpretable, Artificial Intelligence–Based Model (2021) (2)
Geometry , Moments , and Semidefinite Optimization (2002) (2)
Computation of Convex Hull Prices in Electricity Markets with Non-Convexities using Dantzig-Wolfe Decomposition (2022) (2)
Fast Exact Matrix Completion: A Unifying Optimization Framework (2019) (2)
The value of adaptability (2005) (2)
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions (2020) (2)
On the Space lling Curve Heuristic for the Euclidean Traveling Salesman Problem (2)
A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization (2014) (2)
Performance analysis of multiclass queueing networks (1999) (2)
A Robust Optimization Approach to Deep Learning (2021) (2)
Restless Bandit , Linear Programming Relaxations and a Primal-Dual Heuristic (2)
Optimal classification and regression trees with hyperplanes are as powerful as classification and regression neural networks (2018) (2)
A Characterization of the Efficiency-Fairness Tradeoff (2010) (2)
Hospital-wide Patient Flow Optimization (2021) (2)
On a characterization of the minimum assignment and matching in the independent random model (1993) (2)
World-class interpretable poker (2022) (2)
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach (2021) (2)
Validation of the artificial intelligence–based trauma outcomes predictor (TOP) in patients 65 years and older (2021) (2)
Stochastic optimization in supply chain networks: averaging robust solutions (2020) (2)
On the characteristic equation of general queueing systems (1990) (2)
An Exact and Interpretable Solution to Wordle (2022) (2)
Introduction to linear organisation (1997) (2)
Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance (2020) (2)
Distributionally Robust Causal Inference with Observational Data (2022) (2)
Selecting Children with VUR Who are Most Likely to Benefit from Antibiotic Prophylaxis: Application of Machine Learning to RIVUR. (2020) (2)
Robust transient analysis of multi-server queueing systems and feed-forward networks (2018) (1)
Accelerating Vaccine Innovation for Emerging Infectious Diseases via Parallel Discovery (2022) (1)
Abstract 153: Novel Machine Learning Proves Stroke Risk is Not Linear (2020) (1)
Sparse regression over clusters: SparClur (2021) (1)
Tractable stochastic analysis in high dimensions via robust optimization (2012) (1)
Machine Learning and Optimization: Introduction to the Special Issue (2019) (1)
Novel Target Discovery of Existing Therapies: Path to Personalized Cancer Therapy (2020) (1)
NETWORK ANALYSIS FOR PREDICTING ACADEMIC IMPACT ResearchinProgress (2013) (1)
Bounds on some contingent claims with non-convex payoff based on multiple assets (2007) (1)
Novel mixed integer optimization sparse regression approach in chemometrics. (2020) (1)
Semi-Supervised Approach to Predictive Analysis Using Temporal Data (2014) (1)
Call for Papers—Special Issue of Management Science: Business Analytics (2012) (1)
Sparse PCA: a Geometric Approach (2022) (1)
Transient distributional results in queues with applications to queueing networks (1990) (1)
Fairness and Optimality in Trading (2011) (1)
A General Purpose Local Search Algorithm for Binary Optimization (2008) (1)
Global Optimization via Optimal Decision Trees (2022) (1)
Optimizing influenza vaccine composition: A machine learning approach (2021) (1)
The Probabilistic Minimum Spanning Tree , Part I : Complexity and Combinatorial Properties (1)
Stochastic Cutting Planes for Data-Driven Optimization (2021) (1)
Call for Papers - Special Issue of Management Science: Business Analytics: Submission deadline: September 16, 2012 Expected publication date: First Quarter 2014 (2012) (1)
MP64-03 SELECTING CHILDREN WITH VUR WHO ARE MOST LIKELY TO BENEFIT FROM ANTIBIOTIC PROPHYLAXIS: APPLICATION OF MACHINE LEARNING TO RIVUR DATA (2019) (1)
Machine Learning Provides Evidence that Stroke Risk is Not Linear : 1 The Non-Linear Framingham Stroke Risk Score 2 3 The Non-linear Framingham Stroke Risk Score (2021) (1)
Global Flood Prediction: a Multimodal Machine Learning Approach (2023) (1)
Improving Quality in Cardiothoracic Surgery: Exploiting the Untapped Potential of Machine Learning. (2022) (1)
Models and Algorithms for Transient Queueing Congestion at a Hub Airport (1992) (1)
Length-of-stay and mortality prediction for a major hospital through interpretable machine learning (2019) (1)
Reducing Air Pollution through Machine Learning (2023) (1)
Ensemble machine learning for personalized antihypertensive treatment (2021) (1)
Probabilistic guarantees in Robust Optimization A general methodology (2019) (1)
Essays on Inventory , Pricing and Financial Trading Strategies (2010) (1)
DIMITRIS BERTSIMAS AND GEORGIA MOURTZINOU methodology to find the distributions of (1996) (0)
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization (2023) (0)
Two Traveling Salesman Facility Location Problems (0)
KITmetricslab/covid19-forecast-hub-de (2021) (0)
Introduction to the Issue (2019) (0)
Optimal Bidding in Online Auctions Paper 153 (2002) (0)
Robust Classi fi cation (2019) (0)
Machine Learning Reimagined: The Promise of Interpretability to Combat Bias. (2022) (0)
Network Analysis for Predicting Research Impact (2013) (0)
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (2023) (0)
Ethics-by-design: efficient, fair and inclusive resource allocation using machine learning (2022) (0)
Optimizing over coherent risk measures and non-convexities: a robust mixed integer optimization approach (2015) (0)
Decentralized and Tactical Air Traffic Flow Management (1997) (0)
Prescriptive Machine Learning for Public Policy: The Case of Immigration Enforcement (2021) (0)
Sparse hierarchical regression with polynomials (2020) (0)
TSS Dissertation Abstracts - Abstracts for the 1993 Transportation Science Section Dissertation Prize Competition (1994) (0)
An approach to model the risk in the second-stage cost is to use a convex nondecreasing disutility function (2010) (0)
POTTER-ICU: An artificial intelligence smartphone-accessible tool to predict the need for intensive care after emergency surgery. (2022) (0)
Binary decision rules for multistage adaptive mixed-integer optimization (2017) (0)
Innovative Applications of O . R . A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems (2018) (0)
Early Detection of Opioid Over-Procurement: A Machine Learning Approach (2020) (0)
The Probabilistic Minimum Spanning Tree Problem: Part I--complexity and Combinatorial Properties (2015) (0)
High-performance pediatric surgical risk calculator: A novel algorithm based on machine learning and pediatric NSQIP data. (2023) (0)
Optimal healthcare decision making under multiple mathematical models: application in prostate cancer screening (2016) (0)
Interpretable clustering: an optimization approach (2020) (0)
Imputation of clinical covariates in time series (2020) (0)
Special issue based on the INFORMS Conference, June 2007, Barcelona, Spain (2008) (0)
Fluid Models for Parallel Processor Allocation (2003) (0)
Probabilistic Analysis of the 1-tree Relaxation for the Eculidean Traveling Salesman Problem (2015) (0)
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach (2023) (0)
Consider a minimax two-stage stochastic linear optimization problem with fixed recourse : (2010) (0)
MONEYBALL FOR PROFESSORS : MODELS FOR PREDICTING RESEARCH IMPACT (2016) (0)
Title : Informing national immigration policy through interpretable machine learning (2019) (0)
Holistic Deep Learning (2021) (0)
Estimating Network Structure and Propagation Dynamics for an Infectious Disease : Towards Effective Vaccine Allocation (2014) (0)
Decarbonizing OCP (2022) (0)
From the Editor (2019) (0)
Finding Neurons in a Haystack: Case Studies with Sparse Probing (2023) (0)
Controlling make-to-stock manufacturing systems: a large deviations approach (1999) (0)
Certifiably optimal sparse inverse covariance estimation (2019) (0)
Optimal classification trees (2017) (0)
Multistage Stochastic Optimization via Kernels (2023) (0)
Explainable vs. interpretable artificial intelligence frameworks in oncology (2023) (0)
World-class interpretable poker (2022) (0)
ility Con itions for Multiclass Fluid Queueing Networks (2004) (0)
Data-Driven COVID-19 Vaccine Development for Janssen (2023) (0)
Abstract P3-15-03: Clinical benefit, toxicity, and cost of metastatic breast cancer drug therapies: Visualizing randomized and non-randomized evidence (2018) (0)
The Probabilistic Minimum Spanning Tree, Part II: Probabilistic Analysis and Asymptotic Results (1988) (0)
Characterization the equivalenceof of robustification and regularization matrixin linear and regression (2018) (0)
Robust sample average approximation (2017) (0)
Tenure Analytics : Models for Predicting Research Impact (2015) (0)
The Power and Limits of Decision Making with Confounded Data: The Case of Pricing (2021) (0)
Hospital-wide Inpatient Flow Optimization (2021) (0)
Computationally Tractable Theory of Performance Analysis in Stochastic Systems (2012) (0)
15.093 / 2.098 Optimization Methods (SMA 5213), Fall 2004 (2004) (0)
Beyond Impute-Then-Regress: Adapting Prediction to Missing Data (2021) (0)
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions (2022) (0)
Data for: Data-Driven Ambulance Deployment: Closing the Optimality Gap for Online Dispatch (2021) (0)
Stochastic optimization in supply chain networks: averaging robust solutions (2019) (0)
Pricing Algorithmic Insurance (2021) (0)
On the large deviations behavior of acyclic netowrks [sic] of G/G/1 queues (1995) (0)
Performance of Multiclass Markovian Queueing Networks viaPiecewise Linear Lyapunov (2000) (0)
15.083J / 6.859 Integer Programming and Combinatorial Optimization, Fall 2004 (2004) (0)
Algorithmic Insurance (2021) (0)
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems (2022) (0)
Robust Upper Bounds for Adversarial Training (2021) (0)
Multiperiod and Online Optimization for Fleet Defense: Centralized and Distributed Approaches (2017) (0)
Personalized Breast Cancer Screening1 (2021) (0)
Electronic companion for “Decomposable Markov decision processes: a fluid optimization approach” by D. Bertsimas and V. V. Mǐsić (2016) (0)
Accounting for Significance and Multicollinearity in Building Linear Regression Models (2019) (0)
Publisher Correction to: A new perspective on low-rank optimization (2023) (0)
A hierarchy of policies for adaptive optimization (2011) (0)
The edge of optimization in large-scale vehicle routing for paratransit (2020) (0)
Transient and Busy Period Analysis of the Gi/G/1 Queue: Part II, Solution as a Hilbert Problem (2011) (0)
Policy Analytics in Public School Operations (2022) (0)
Data-driven Interpretable Policy Construction for Personalized Mobile Health (2022) (0)
Time Series that are Robust to Regime Changes (2021) (0)
Imbalanced classification via robust optimization (2020) (0)
Optimal Predictive Clustering (2020) (0)
The Price of Diversity (2021) (0)
Reformulation versus cutting-planes for robust optimization (2015) (0)
Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees (2021) (0)
Optimal Device Design: Robust optimization in high dimensions (2009) (0)
CHAPTER 14 FLUID MODELS FOR PARALLEL PROCESSOR ALLOCATION (2003) (0)
Call for Papers Special Issue of Management Science: Business Analytics: Submission deadline: September 16, 2012 Expected publication date: First Quarter 2014 (2012) (0)
Dimitris Bertsimas (2019) (0)
D R A F T From predictions to prescriptions: A data-driven response to COVID-19 (2020) (0)
On the approximability of adjustable robust convex optimization under uncertainty (2012) (0)
Certifiably optimal sparse principal component analysis (2019) (0)
A central limit theorem for the exodic tree and exodic matching in geometrical probability (1991) (0)
A technique for speeding up the Lagrangean dual (1994) (0)
Channel Coding via Robust Optimization Part 2: The Multi-User Channel (2021) (0)
Optimal Selection of Health Care Providers (2017) (0)
Channel Coding via Robust Optimization Part 1: The Single-User Channel (2016) (0)
On the performance of affine policies for two-stage adaptive optimization: a geometric perspective (2014) (0)
A Stochastic Benders Decomposition Scheme for Large-Scale Data-Driven Network Design (2023) (0)
Robust Optimization of Aperiodic Photonic Structures (2007) (0)
From valid inequalities to heuristics: A unified view of primal-dual methods in approximation algorithms (1994) (0)
Data-driven robust optimization (2017) (0)

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