Patrick Jaillet

Q: What Schools Are Affiliated With Patrick Jaillet

Patrick Jaillet is affiliated with the following schools: University of Maryland, College Park, University of California, Berkeley, University of Texas at Austin, École des ponts ParisTech, Massachusetts Institute of Technology

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Patrick Jaillet

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Why Is Patrick Jaillet Influential?

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According to Wikipedia, Patrick Jaillet is an American electrical engineer and computer scientist. He is the Dugald C. Jackson Professor in the Department of Electrical Engineering and Computer Science at Massachusetts Institute of Technology. His research interests include online and data-focused optimization.

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Patrick Jaillet'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

Variational inequalities and the pricing of American options (1990) (463)
Stochastic and dynamic networks and routing (1995) (376)
A Priori Solution of a Traveling Salesman Problem in Which a Random Subset of the Customers Are Visited (1988) (338)
Real-Time Multivehicle Truckload Pickup and Delivery Problems (2004) (312)
Valuation of Commodity-Based Swing Options (2004) (310)
A Priori Optimization (1990) (258)
Probabilistic Traveling Salesman Problems (1985) (251)
Online map-matching based on Hidden Markov model for real-time traffic sensing applications (2012) (201)
A Decomposition Approach to the Inventory Routing Problem with Satellite Facilities (1998) (198)
AIRLINE NETWORK DESIGN AND HUB LOCATION PROBLEMS (1996) (184)
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction (2014) (174)
Online Stochastic Matching: New Algorithms with Better Bounds (2014) (140)
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications (2019) (134)
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems (2017) (132)
Delivery Cost Approximations for Inventory Routing Problems in a Rolling Horizon Framework (2002) (129)
Online Routing Problems: Value of Advanced Information as Improved Competitive Ratios (2006) (113)
A branch and cut algorithm for the VRP with satellite facilities (1998) (111)
Matrix and Tensor Based Methods for Missing Data Estimation in Large Traffic Networks (2016) (106)
Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines (2016) (99)
Generalized Online Routing: New Competitive Ratios, Resource Augmentation, and Asymptotic Analyses (2008) (98)
Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems (2015) (96)
Evaluation of Dynamic Fleet Management Systems: Simulation Framework (1998) (94)
On-Line Algorithms for Truck Fleet Assignment and Scheduling Under Real-Time Information (1999) (90)
Dynamic Decision Making for Commercial Fleet Operations Using Real-Time Information (1996) (89)
Routing Optimization Under Uncertainty (2016) (88)
Rebalancing shared mobility-on-demand systems: A reinforcement learning approach (2017) (86)
Pricing in Dynamic Vehicle Routing Problems (2007) (81)
Kidney exchange in dynamic sparse heterogenous pools (2013) (77)
Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena (2014) (77)
IMPROVING EFFICIENCY OF COMMERCIAL VEHICLE OPERATIONS USING REAL-TIME INFORMATION: POTENTIAL USES AND ASSIGNMENT STRATEGIES (1995) (76)
Low-dimensional models for missing data imputation in road networks (2013) (67)
Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond (2015) (63)
Online Spatio-Temporal Matching in Stochastic and Dynamic Domains (2016) (62)
On Matching and Thickness in Heterogeneous Dynamic Markets (2016) (61)
Location-Routing Problems with Uncertainty (1995) (60)
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena (2012) (60)
Framework for Study of Carrier Strategies in Auction-Based Transportation Marketplace (2003) (60)
Online Vehicle Routing Problems: A Survey (2008) (59)
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations (2013) (54)
Shortest path problems with node failures (1992) (54)
Edge Weighted Online Windowed Matching (2019) (53)
Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation (2014) (50)
Yard Crane Scheduling for container storage, retrieval, and relocation (2018) (50)
Federated Bayesian Optimization via Thompson Sampling (2020) (50)
An algorithm with performance guarantee for the Online Container Relocation Problem (2017) (49)
Online Searching (2001) (47)
Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes (2014) (45)
THE PROBABILISTIC VEHICLE ROUTING PROBLEM. VEHICLE ROUTING: METHODS AND STUDIES. STUDIES IN MANAGEMENT SCIENCE AND SYSTEMS - VOLUME 16 (1988) (44)
On reliability of graphs with node failures (1994) (42)
Variational Bayesian Unlearning (2020) (41)
Online traveling salesman problems with service flexibility (2011) (41)
The Stochastic Container Relocation Problem (2017) (40)
Bayesian Optimization Meets Bayesian Optimal Stopping (2019) (40)
A new binary formulation of the restricted Container Relocation Problem based on a binary encoding of configurations (2017) (40)
Inverse Reinforcement Learning with Locally Consistent Reward Functions (2015) (39)
Local Optimization Approaches to Solve Dynamic Commercial Fleet Management Problems (2000) (39)
CUR decomposition for compression and compressed sensing of large-scale traffic data (2013) (37)
Decentralized Stochastic Planning with Anonymity in Interactions (2014) (36)
Advances on Matroid Secretary Problems: Free Order Model and Laminar Case (2012) (36)
On the Quickest Flow Problem in Dynamic Networks - A Parametric Min-Cost Flow Approach (2015) (35)
Low-Dimensional Models for Compressed Sensing and Prediction of Large-Scale Traffic Data (2015) (35)
Travel Time Estimation in the Age of Big Data (2019) (35)
Competitive Performance Assessment of Dynamic Vehicle Routing Technologies Using Sequential Auctions (2004) (35)
Wavelets on graphs with application to transportation networks (2014) (34)
Location and Routing Models for Emergency Response Plans with Priorities (2012) (34)
Online Learning with a Hint (2017) (33)
Data compression techniques for urban traffic data (2013) (31)
Nonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes (2014) (31)
Implicit Posterior Variational Inference for Deep Gaussian Processes (2019) (30)
Analysis of Probabilistic Combinatorial Optimization Problems in Euclidean Spaces (1993) (30)
Online Repositioning in Bike Sharing Systems (2017) (29)
Quantifying Opportunity Costs in Sequential Transportation Auctions for Truckload Acquisition (2006) (28)
Detecting weak public transport connections from cellphone and public transport data (2014) (27)
Near-Optimal Online Algorithms for Dynamic Resource Allocation Problems (2012) (24)
Predicting traffic speed in urban transportation subnetworks for multiple horizons (2014) (24)
Estimating Travel Time Distributions by Bayesian Network Inference (2020) (23)
The Price of Interpretability (2019) (23)
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data (2014) (21)
A priori parallel machines scheduling (2010) (21)
Impacts of Auction Settings on the Performance of Truckload Transportation Marketplaces (2005) (20)
ZAC: A Zone Path Construction Approach for Effective Real-Time Ridesharing (2019) (19)
Dynamic Truckload Truck Routing and Scheduling in Oversaturated Demand Situations (2002) (19)
DYNAMIC DISPATCHING STRATEGIES UNDER REAL-TIME INFORMATION FOR CARRIER FLEET MANAGEMENT (1996) (19)
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression (2017) (19)
Bayesian Support Vector Regression for traffic speed prediction with error bars (2013) (19)
Log-Quadratic Bounds for the Gaussian Q-function (2013) (19)
Online traveling salesman problems with rejection options (2014) (18)
Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents (2012) (18)
Robust Adaptive Routing Under Uncertainty (2014) (18)
Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network (2012) (18)
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games (2020) (18)
Sampling Based Approaches for Minimizing Regret in Uncertain Markov Decision Processes (MDPs) (2017) (18)
Online Optimization (2011) (17)
Regret based Robust Solutions for Uncertain Markov Decision Processes (2013) (17)
Online Optimization—An Introduction (2010) (17)
An HMM-based map matching method with cumulative proximity-weight formulation (2013) (17)
Electronic Marketplaces for Transportation Services: Shipper Considerations (2002) (17)
Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems (2015) (17)
Randomized Minmax Regret for Combinatorial Optimization Under Uncertainty (2014) (16)
Real-Time Bidding with Side Information (2017) (16)
Bidding and Pricing in Budget and ROI Constrained Markets (2021) (16)
Maximum Weight Online Matching with Deadlines (2018) (16)
Container Relocation Problem: Approximation, Asymptotic, and Incomplete Information (2015) (16)
Near-Lossless Compression for Large Traffic Networks (2015) (15)
Logarithmic regret bounds for Bandits with Knapsacks (2015) (15)
Estimating Primary Demand in Bike-sharing Systems (2019) (15)
Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning (2019) (15)
Maximizing Efficiency in Dynamic Matching Markets (2018) (14)
Collaborative Bayesian Optimization with Fair Regret (2021) (14)
Loss bounds for uncertain transition probabilities in Markov decision processes (2012) (13)
A Decomposition Algorithm for Nested Resource Allocation Problems (2014) (13)
CUBE VERSUS TORUS MODELS AND THE EUCLIDEAN MINIMUM SPANNING TREE CONSTANT (1993) (13)
Incentive-aware Contextual Pricing with Non-parametric Market Noise (2019) (13)
Managing Relocation and Delay in Container Terminals with Flexible Service Policies (2015) (12)
Greedy Online Bipartite Matching on Random Graphs (2013) (12)
Online Resource Allocation Under Partially Predictable Demand (2018) (12)
Rates of Convergence for Quasi-Additive Smooth Euclidean Functionals and Application to Combinatorial Optimization Problems (1992) (12)
The Machine Learning and Traveling Repairman Problem (2011) (12)
Zone pAth Construction (ZAC) based Approaches for Effective Real-Time Ridesharing (2020) (11)
Extracting commuting patterns in railway networks through matrix decompositions (2014) (11)
Almost sure asymptotic optimality for online routing and machine scheduling problems (2010) (11)
Dynamic Stochastic Optimization of Relocations in Container Terminals (2013) (11)
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion (2020) (11)
Modeling Carrier Behavior in Sequential Auction Transportation Markets (2003) (11)
Competitive Ratios for Online Multi-capacity Ridesharing (2020) (11)
An average-case asymptotic analysis of the Container Relocation Problem (2016) (11)
Discrete Newton's Algorithm for Parametric Submodular Function Minimization (2017) (11)
Routing Optimization with Deadlines under Uncertainty (2014) (11)
A stochastic algorithm for online bipartite resource allocation problems (2016) (11)
Spatial and Temporal Patterns in Large-Scale Traffic Speed Prediction (2014) (10)
Travel Time Estimation Using Speed Predictions (2015) (10)
Inéquations variationnelles et théorie des options (1988) (10)
The Robust Vehicle Routing Problem with Time Window Assignments (2021) (10)
Discrete Probability (1999) (10)
Average-Case Performance of Rollout Algorithms for Knapsack Problems (2013) (10)
Top-k Ranking Bayesian Optimization (2020) (10)
Exploiting the Structure of Two-Stage Robust Optimization Models with Exponential Scenarios (2020) (9)
Machine Learning and the Traveling Repairman (2011) (9)
On Some Probabilistic Combinatorial Optimization Problems Defined on Graphs (1987) (9)
A Locational Demand Model for Bike-Sharing (2019) (9)
Separable Convex Optimization with Nested Lower and Upper Constraints (2017) (9)
Strategic Manpower Planning under Uncertainty (2018) (8)
Strategies for Online Inventory Routing Problem under Real-Time Information (2005) (8)
Real-time information for improved efficiency of commercial vehicle operations (1997) (8)
Dynamic Resource Redistribution and Demand Estimation: An Application to Bike Sharing Systems (2019) (8)
Dynamic Truckload Routing, Scheduling, and Load Acceptance for Large Fleet Operation with Priority Demands (2004) (8)
Rate of convergence for the Euclidean minimum spanning tree limit law (1993) (8)
An Information-Theoretic Framework for Unifying Active Learning Problems (2020) (7)
EVALUATING THE FEASIBILITY OF RELIEVER AND FLOATING HUB CONCEPTS WHEN A PRIMARY AIRLINE HUB EXPERIENCES EXCESSIVE DELAYS (1997) (7)
Multicriteria Highway Programming Incorporating Risk and Uncertainty : A Methodology for a Highway Asset Management System (2005) (7)
Auction Settings and Performance of Electronic Marketplaces for Truckload Transportation Services (2004) (7)
Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases (2016) (7)
Impacts of Auction Settings on the Performance of Truckload Transportation Marketplaces (2005) (7)
Low regret bounds for Bandits with Knapsacks (2015) (7)
Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty (2015) (7)
On properties of geometric random problems in the plane (1995) (7)
A precise proximity-weight formulation for map matching algorithms (2013) (7)
Evaluation of smart-phone performance for real-time traffic prediction (2014) (6)
On Centralized and Decentralized Architectures for Traffic Applications (2016) (6)
Online scheduling with multi‐state machines (2017) (6)
Signaling Game-based Misbehavior Inspection in V2I-enabled Highway Operations (2018) (6)
Digital breadcrumbs: Detecting urban mobility patterns and transport mode choices from cellphone networks (2013) (5)
Detecting weak public transport connections from cellphone and public transport data (2014) (5)
Online Traveling Salesman Problems with Flexibility (2009) (5)
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models (2017) (5)
Cube versus Torus Models for Combinatorial Optimization Problems and the Euclidean Minimum Spanning Tree Constant (1990) (4)
Robust Multi-product Pricing under General Extreme Value Models (2019) (4)
Estimating travel time distributions using copula graphical lasso (2017) (4)
Structured Prediction by Conditional Risk Minimization (2016) (4)
Inverse Reinforcement Learning with Missing Data (2019) (4)
Stochastic Dynamic Pricing for Same-Day Delivery Routing (2019) (4)
The K-server problem via a modern optimization lens (2019) (4)
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning (2019) (4)
Learning Structure in Nested Logit Models (2020) (4)
Estimating the Impact of High-Fidelity Rainfall Data on Traffic Conditions and Traffic Prediction (2021) (3)
An Integrated Likelihood Formulation for Characterizing the Proximity of Position Measurements to Road Segments (2018) (3)
DYNAMIC VEHICLE ALLOCATION FOR FLEET MANAGEMENT: OPERATIONAL CHANGES FOR IMPROVED EFFICIENCY (1995) (3)
Coping with Disruptions (2010) (3)
Planning a multi-sensors search for a moving target considering traveling costs (2020) (3)
Risk-Based Manpower Planning: A Tractable Multi-Period Model (2018) (3)
Improving traffic prediction by including rainfall data CONFERENCE (2016) (3)
Optimal Explanations of Linear Models (2019) (3)
Structured Prediction by Least Squares Estimated Conditional Risk Minimization (2016) (2)
Competitive and Asymptotic Analyses for Online Traveling Salesman Problems in Euclidean Space (2004) (2)
Estimation of travel time from taxi GPS data (2017) (2)
An improved lower bound for the Traveling Salesman constant (2019) (2)
Online Resource Allocation with Samples (2022) (2)
Probability Distributions on Partially Ordered Sets and Network Interdiction Games (2018) (2)
A Relation Analysis of Markov Decision Process Frameworks (2020) (2)
No-Regret Learnability for Piecewise Linear Losses (2014) (2)
Probability Distributions on Partially Ordered Sets and Network Security Games (2018) (2)
Efficient Carpooling and Toll Pricing for Autonomous Transportation (2021) (2)
Note: Online Searching / on the Optimality of the Geometric Sequences for the m Ray Search Online Searching (2002) (2)
Compressed prediction of large-scale urban traffic (2014) (2)
No-regret Learning in Price Competitions under Consumer Reference Effects (2020) (2)
An Iterative Security Game for Computing Robust and Adaptive Network Flows (2019) (1)
Auction settings impacts on the performance of truckload transportation marketplaces (2005) (1)
Exponential convergence rates for stochastically ordered Markov processes under perturbation (2019) (1)
Bibliographic Section (1994) (1)
Dynamic Redeployment to Reduce Lost Demand in Vehicle Sharing Systems (2014) (1)
Multi-channel Autobidding with Budget and ROI Constraints (2023) (1)
Optimizing Onsite Food Services at Scale (2020) (1)
Strategic Workforce Planning Under Uncertainty (2021) (1)
Distributed Multi-Depot Routing without Communications (2014) (1)
A new 0-1 formulation of the restricted container relocation problem based on a binary encoding of congurations (2017) (1)
DYNAMIC TRUCKLOAD ROUTING, SCHEDULING, AND LOAD ACCEPTANCE (2004) (1)
TRISTAN V : The Fifth Triennial Symposium on Transportation Analysis 1 Online Problems in Routing and Scheduling (2004) (0)
On Matching and Thickness in Dynamic Markets (2016) (0)
Probabilistic analysis of route deviation bus lines (1982) (0)
A Priori Strategies for the Probabilistic Total Weighted Flowtime on Parallel Identical Machines Problem (2009) (0)
Systeme et procede « move » d'equilibrage de taille de lots (2001) (0)
Multiperiod and Online Optimization for Fleet Defense: Centralized and Distributed Approaches (2017) (0)
TSS Dissertation Abstracts - Abstracts for the 1996 Transportation Science Section Dissertation Prize Competition (1997) (0)
On the Existence of a Unique Optimal Threshold Value for the Early Exercise of Call Options (2003) (0)
Project Title : Dynamic Redistribution of Demand for Peak Hour Congestion Management (2018) (0)
Dynamic Vehicle Allocation Under Real Time Information: Operational Considerations and Potential Efficiencies (1996) (0)
Greedy Online Matching on Random Graphs ∗ (2016) (0)
Title Low-Dimensional Models for Compressed Sensing andPrediction of Large-Scale Traffic Data (2019) (0)
Large-Scale Online and Real-Time Optimization Problems under Uncertainty (2011) (0)
Advances on Matroid Secretary Problems (2013) (0)
Static and Dynamic Online Stochastic Container Relocation Problem under random permutation (2015) (0)
Almost Sure Asymptotic Optimality in Online Machine Scheduling (2006) (0)
2 Upper Bounds 2 . 1 Inhomogeneous Cases (2011) (0)
Robust Product-line Pricing under Generalized Extreme Value Models (2019) (0)
Creating a Sustainable Earth: An MIT Research, Teaching, and Public Service Initiative for Understanding, Restoring and Managing the Environment A Report by the Committee to Assess Environmental Activities at MIT (2007) (0)
Data-Driven Online and Real-Time Combinatorial Optimization (2013) (0)
Decentralized stochastic planning with anonymity in interactions Citation (2014) (0)
Almost Sure Asymptotic Optimality for the Online Traveling Repairman Problem with Precedence Constraints (2006) (0)
The Price of Anarchy: Centralized versus Distributed Resource Allocation Trade-offs (2019) (0)
ITLS-WP-0610 Pricing in Dynamic Vehicle Routing Problems (2006) (0)
Algorithmic advancements in discrete optimization Applications to machine learning and healthcare operations (2020) (0)
2013-03-128 Routing Optimization with Deadlines under Uncertainty (2013) (0)
Real-time information for improved efficiency of commercial vehicle operations. Research report (1998) (0)
A new binary integer program for the restricted container relocation problem (2017) (0)
New Competitive Ratios for Generalized Online Routing (2006) (0)
Spatial and Temporal Patterns in Large-Scale Trafﬁc Speed Prediction (2013) (0)
Low-dimensional Models for Compression , Compressed Sensing , and Prediction of Large-Scale Traffic Data (2014) (0)
Institutional Knowledge at Singapore Management University Online repositioning in bike sharing systems (2019) (0)
Exponential Convergence Rates for Stochastically Ordered Markov Processes with Random Initial Conditions. (2018) (0)
Additional Results and Extensions for the paper "Probabilistic bounds on the k-Traveling Salesman Problem and the Traveling Repairman Problem" (2022) (0)
L'impact de la disponibilité et de la fiabilité des informations sur le nombre de repositionnements dans un terminal à conteneurs (2014) (0)
Planification de la recherche d’une cible par plusieurs capteurs avec considération du coût de déplacement (2020) (0)
Parallel On-Line Searching (2000) (0)
Stochastic Matching : New Algorithms with Better Bounds ∗ (2013) (0)
A Note on the Number of Leaves of a Euclidean Minimal Spanning Tree (1990) (0)

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Other Resources About Patrick Jaillet

What Schools Are Affiliated With Patrick Jaillet?

Patrick Jaillet is affiliated with the following schools:

Patrick Jaillet's Academic­Influence.com Rankings

Why Is Patrick Jaillet Influential?

Patrick Jaillet's Published Works

Published Works

Other Resources About Patrick Jaillet

What Schools Are Affiliated With Patrick Jaillet?

Patrick Jaillet's AcademicInfluence.com Rankings