Alexandre Proutiere

Alexandre Proutiere's AcademicInfluence.com Rankings

Alexandre Proutiere

Engineering

#4201

World Rank

#5380

Historical Rank

Electrical Engineering

#1541

World Rank

#1636

Historical Rank

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Engineering

Why Is Alexandre Proutiere Influential?

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According to Wikipedia, Alexandre Proutiere is a professor of Electrical Engineering at KTH, the Royal Institute of Technology. He received an engineering degree from Ecole Nationale Superieure des Telecoms and then, from 1998 to 2000, he worked in the radio communication department at the Ministry of Foreign Affairs in Paris. He received his PhD in Applied Mathematics from Ecole Polytechnique, Palaiseau, France in 2003 under the supervision of James Roberts. Following his PhD he worked as a researcher at Microsoft Research in Cambridge before joining KTH as an associate professor.

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Alexandre Proutiere'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

Statistical bandwidth sharing: a study of congestion at flow level (2001) (441)
Wireless downlink data channels: user performance and cell dimensioning (2003) (316)
A queueing analysis of max-min fairness, proportional fairness and balanced fairness (2006) (260)
Insensitive Bandwidth Sharing in Data Networks (2003) (216)
Adaptive network coding and scheduling for maximizing throughput in wireless networks (2007) (211)
Rethinking Indoor Wireless Mesh Design: Low Power, Low Frequency, Full-Duplex (2010) (187)
Combinatorial Bandits Revisited (2015) (164)
Efficient and fair MAC for wireless networks with self-interference cancellation (2011) (143)
Insensitivity in processor-sharing networks (2002) (128)
Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms (2014) (123)
Inter-cell scheduling in wireless data networks (2005) (112)
Towards utility-optimal random access without message passing (2010) (108)
Modeling integration of streaming and data traffic (2004) (108)
Wireless data performance in multi-cell scenarios (2004) (104)
Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms (2014) (101)
A particle system in interaction with a rapidly varying environment: Mean field limits and applications (2007) (92)
Statistical performance guarantees for streaming flows using expedited forwarding (2001) (89)
Performance of random medium access control, an asymptotic approach (2008) (88)
Minimal Exploration in Structured Stochastic Bandits (2017) (88)
The Evolution of Beliefs over Signed Social Networks (2013) (87)
How mobility impacts the flow-level performance of wireless data systems (2004) (81)
On performance bounds for the integration of elastic and adaptive streaming flows (2004) (75)
Accurate Community Detection in the Stochastic Block Model via Spectral Algorithms (2014) (74)
Flow-level performance and capacity of wireless networks with user mobility (2009) (70)
Complexity in wireless scheduling: impact and tradeoffs (2008) (68)
From self-tuning regulators to reinforcement learning and back again (2019) (65)
Optimal Cluster Recovery in the Labeled Stochastic Block Model (2015) (65)
On performance bounds for balanced fairness (2004) (64)
Evaluating the voice capacity of 802.11 WLAN under distributed control (2005) (63)
Throughput of random access without message passing (2008) (61)
Rethinking Indoor Wireless: Low Power, Low Frequency, Full-duplex (2009) (60)
Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards (2013) (59)
Random Multi-access Algorithms - A Mean Field analysis (2005) (58)
Insensitive load balancing (2004) (56)
Maximizing Utility via Random Access without Message Passing (2008) (55)
Asymptotic Stability Region of Slotted Aloha (2008) (55)
Computational aspects of balanced fairness (2003) (55)
Capacity of Wireless Data Networks with Intra- and Inter-Cell Mobility (2006) (54)
Insensitivity results in statistical bandwidth sharing (2001) (54)
Stochastic Online Shortest Path Routing: The Value of Feedback (2013) (53)
Optimal joint probing and transmission strategy for maximizing throughput in wireless systems (2008) (51)
Community Detection via Random and Adaptive Sampling (2014) (49)
Optimal Rate Sampling in 802.11 systems (2013) (47)
Scheduling with limited information in wireless systems (2009) (47)
Exploration in Structured Reinforcement Learning (2018) (47)
Resource Allocation over Network Dynamics without Timescale Separation (2010) (46)
On Stochastic Bounds for Monotonic Processor Sharing Networks (2004) (45)
Insensitivity and stability of random-access networks (2010) (43)
Dynamic Rate and Channel Selection in Cognitive Radio Systems (2014) (43)
Load balancing via random local search in closed and open systems (2010) (41)
Is the ''Law of the Jungle'' Sustainable for the Internet? (2009) (40)
Learning to Rank (2015) (40)
Optimal Algorithms for Multiplayer Multi-Armed Bandits (2019) (39)
IEEE Transactions on Control of Network Systems (2018) (39)
Cluster-aided mobility predictions (2015) (36)
Implementing utility-optimal CSMA (2009) (36)
Hop limited flooding over dynamic networks (2011) (35)
Scoop: decentralized and opportunistic multicasting of information streams (2011) (33)
Inter-cell coordination in wireless data networks (2006) (33)
Flow-level stability of data networks with non-convex and time-varying rate regions (2007) (33)
Learning to Personalize in Appearance-Based Gaze Tracking (2018) (32)
Optimal Best-arm Identification in Linear Bandits (2020) (32)
Mobility-Driven Scheduling in Wireless Networks (2009) (32)
Impact of storage on the efficiency and prices in real-time electricity markets (2013) (31)
Repeated Auctions under Budget Constraints : Optimal bidding strategies and Equilibria (2012) (31)
Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation (2019) (31)
Networked estimation under contention‐based medium access (2010) (31)
Dynamic channel, rate selection and scheduling for white spaces (2011) (30)
Emergent Behaviors Over Signed Random Dynamical Networks: State-Flipping Model (2014) (30)
Convergence and tradeoff of utility-optimal CSMA (2009) (29)
Sample Complexity Lower Bounds for Linear System Identification (2019) (29)
Efficiency and Fairness in Distributed Wireless Networks Through Self-interference Cancellation and Scheduling (2009) (28)
Spectrum bandit optimization (2013) (27)
Optimal Attacks on Reinforcement Learning Policies (2019) (26)
Backlog-based random access in wireless networks: Fluid limits and delay issues (2011) (26)
Optimal bidding strategies in dynamic auctions with budget constraints (2011) (25)
Optimal Bidding Strategies and Equilibria in Dynamic Auctions with Budget Constraints (2013) (25)
Flow-level Stability of Utility-Based Allocations for Non-Convex Rate Regions (2006) (25)
Finite-time Identification of Stable Linear Systems Optimality of the Least-Squares Estimator (2020) (24)
Characterizing podcast services: publishing, usage, and dissemination (2009) (23)
Random capture algorithms fluid limits and stability (2010) (22)
Opportunistic medium access in multi-channel wireless systems: A learning approach (2010) (22)
Interacting queues with server selection and coordinated scheduling—application to cellular data networks (2009) (20)
Streaming, Memory Limited Algorithms for Community Detection (2014) (20)
Learning to Optimally Exploit Multi-Channel Diversity in Wireless Systems (2010) (18)
Rate Adaptation Games in Wireless LANs: Nash Equilibrium and Price of Anarchy (2010) (18)
A Queueing Analysis of Data Networks (2011) (18)
Distributed Online Optimization With Long-Term Constraints (2019) (18)
Stability, Fairness, and Performance: A Flow-Level Study on Nonconvex and Time-Varying Rate Regions (2009) (17)
Fast Pure Exploration via Frank-Wolfe (2021) (16)
Conservative estimates of blocking and outage probabilities in CDMA networks (2005) (16)
A stochastic multi-armed bandit approach to nonparametric H∞-norm estimation (2017) (16)
An Optimal Algorithm for Stochastic Matroid Bandit Optimization (2016) (15)
Unimodal Bandits without Smoothness (2014) (15)
Evaluating delay and energy in sensor networks with sporadic and correlated traffic (2007) (13)
Distributed Proportional Fair Load Balancing in Heterogenous Systems (2015) (13)
Statistical Guarantees for Streaming Flows Using Expedited Forwarding. (2001) (13)
On Downlink Capacity of Cellular Data Networks with WLAN/WPAN Relays (2013) (13)
Emergent Behaviors Over Signed Random Dynamical Networks: Relative-State-Flipping Model (2014) (12)
Distributed Online Linear Regressions (2019) (12)
Simulation-based optimization algorithms with applications to dynamic spectrum access (2012) (12)
Distributed Online Linear Regression (2019) (12)
Online shortest path routing: The value of information (2013) (11)
Network Synchronization with Convexity (2014) (11)
Off-policy Learning for Remote Electrical Tilt Optimization (2020) (11)
Feedback policies for measurement-based quantum state manipulation (2014) (11)
Multi-armed Bandit with Additional Observations (2018) (11)
Greedy-Bayes for Targeted News Dissemination (2015) (11)
Clustering in Block Markov Chains (2017) (11)
Learning Proportionally Fair Allocations with Low Regret (2018) (10)
Unimodal Bandits with Continuous Arms: Order-optimal Regret without Smoothness (2020) (9)
Consistent Change Point Detection for Piecewise Constant Signals With Normalized Fused LASSO (2017) (9)
Appearance-Based 3D Gaze Estimation with Personal Calibration (2018) (9)
Routing games with elastic traffic (2009) (9)
Adaptive Sampling for Best Policy Identification in Markov Decision Processes (2020) (8)
Exploiting Channel Diversity in White Spaces (2011) (8)
Performance of Random Medium Access - An asymptotic approach (2008) (8)
Optimal Distributed Scheduling in Wireless Networks Under the SINR Interference Model (2013) (8)
Insensitive bandwidth sharing (2002) (8)
Minimal Expected Regret in Linear Quadratic Control (2021) (8)
Navigating to the Best Policy in Markov Decision Processes (2021) (8)
Optimal distributed scheduling in wireless networks under SINR interference model (2013) (8)
Random Multi-access Algorithms in Networks with Partial Interaction: A Mean Field Analysis (2007) (7)
How mobility impacts the flow-level performance of wireless data networks (2004) (7)
Thresholded LASSO Bandit (2020) (6)
Online Learning of Optimally Diverse Rankings (2017) (6)
Towards Optimal Attacks on Reinforcement Learning Policies (2021) (6)
Poisoning Attacks against Data-Driven Control Methods (2021) (6)
WLC07-3: Packet and Flow Level Performance of Wireless Multihop Data Networks (2006) (6)
Capacity of wireless networks with intra- and inter-cell mobility (2005) (6)
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science (2016) (5)
On the Traffic Capacity of Cellular Data Networks (2009) (5)
Wireless downlink data channels (2003) (4)
Best Policy Identification in discounted MDPs: Problem-specific Sample Complexity (2020) (4)
Distributed Optimization: Convergence Conditions from a Dynamical System Perspective (2012) (4)
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study (2021) (4)
Streaming, Memory Limited Matrix Completion with Noise (2015) (4)
An Optimal Algorithm in Multiplayer Multi-Armed Bandits (2019) (4)
Strategic arrivals to queues offering priority service (2017) (3)
Collaborative Clustering: Sample Complexity and Efficient Algorithms (2017) (3)
Regret in Online Recommendation Systems (2020) (3)
Randomized consensus with attractive and repulsive links (2013) (3)
Boolean Gossip Networks (2015) (3)
Fast and Memory Optimal Low-Rank Matrix Approximation (2015) (3)
Distributed load balancing in heterogenous systems (2014) (3)
Stochastic and Adversarial Combinatorial Bandits (2015) (3)
Viral Clustering: A Robust Method to Extract Structures in Heterogeneous Datasets (2016) (3)
Optimal Clustering Algorithms in Block Markov Chains (2017) (2)
On Downlink Capacity of Cellular Data Networks With WLAN/WPAN Relays (2007) (2)
Finite-Time Identification of Linear Systems: Fundamental Limits and Optimal Algorithms (2023) (2)
Towards optimal MAC without message passing in wireless networks (2009) (2)
Continuous-time distributed optimization of homogenous dynamics (2013) (2)
Mobility Prediction Using Non-Parametric Bayesian Model (2015) (2)
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach (2022) (1)
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems (2021) (1)
Distributed Algorithms that Solve Boolean Equation Systems (2020) (1)
Joint-optimal probing and scheduling in wireless systems (2008) (1)
Off-Policy Learning in Contextual Bandits for Remote Electrical Tilt Optimization (2023) (1)
Viral initialization for spectral clustering (2017) (1)
Regret Analysis in Deterministic Reinforcement Learning (2021) (1)
Nearly Optimal Latent State Decoding in Block MDPs (2022) (1)
Distributed Algorithms that Solve Boolean Equations with Local and Differential Privacies (2020) (1)
Distributed Algorithms for Boolean Equations Over Networks (2023) (1)
Scheduling in Wireless Networks: Complexity, Tradeoffs, and Impacts (2008) (1)
Learning Proportionally Fair Allocations with Low Regret (2018) (1)
Optimal Sampling and Clustering in the Stochastic Block Model (2019) (1)
Distributedly Solving Boolean Equations over Networks (2020) (1)
Emergent Behaviors over Signed Random Networks in Dynamical Environments (2013) (1)
Multi-armed Bandit with Additional Observations (2018) (1)
Video Object Segmentation via Tracking Edges and Classifying Segments (2018) (1)
Multi-armed Bandit with Additional Observations (2019) (0)
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach (2022) (0)
Optimal Clustering from Noisy Binary Feedback (2019) (0)
Greedy-Bayes for Targeted News Dissemination (2015) (0)
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes (2021) (0)
Unimodal Bandits with Continuous Arms (2020) (0)
Unimodal Bandits with Continuous Arms (2020) (0)
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems (2022) (0)
A process for the selection of receiving stations in a data radio transmission system (2005) (0)
L G ] 1 2 Ju l 2 01 5 Human Mobility Prediction Using Non-Parametric Bayesian Model (2015) (0)
Optimality of Spectral Algorithms for Community Detection in the Labeled Stochastic Block Model (2015) (0)
A stochastic multi-armed bandit approach to nonparametric H-infinity-norm estimation (2017) (0)
New Results - Design of Cellular and Ad Hoc Wireless Networks (2004) (0)
Conformal Off-Policy Evaluation in Markov Decision Processes (2023) (0)
Strategic arrivals to queues offering priority service (2019) (0)
Joint optimal probing and scheduling in wireless networks (2008) (0)
Self-Tuning Tube-based Model Predictive Control (2022) (0)
Boolean Gossiping Networks (2015) (0)
Lecture 2 Gradient Descent and Subgradient Methods (2013) (0)
Generic Asymptotically Optimal Algorithms for Multi-Armed Bandits (2018) (0)
Scheduling without Passing Any Message (2008) (0)
Feedback design for quantum state manipulation by measurements (2015) (0)
Load balancing via random local search in closed and open systems (2012) (0)
Editorial introduction (2012) (0)
Rate region of multi-channel mesh data networks with rate control (2008) (0)
Tube-Based Zonotopic Data-Driven Predictive Control (2022) (0)
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure (2022) (0)
OPTIMAL CLUSTERING ALGORITHMS IN BLOCK MARKOV CHAINS By Jaron Sanders and Alexandre Proutière KTH Royal Institute of Technology, Stockholm, Sweden (2017) (0)
Admission Control with Minimal Measurement Cost: A Best Arm Identiﬁcation Approach (2022) (0)
Random multi-access protocols in networks with partial interaction and non-saturated nodes: a mean field approach (2007) (0)
New Results - Network Dynamics (2004) (0)
S I ] 2 7 O ct 2 01 6 Boolean Gossiping Networks (2016) (0)
Performance Analysis of Wireless Multihop Data Networks (2006) (0)
Throughput Optimal Network Coding and Scheduling in Wireless Networks (2008) (0)
Method for receiving stations to select a data radio transmission system (2004) (0)
Learning Proportionally Fair Allocations with Low Regret (2019) (0)
Online Learning of Optimally Diverse Rankings (2017) (0)
Predictive Bandits (2020) (0)
L G ] 1 2 A ug 2 01 5 Mobility Prediction Using Non-Parametric Bayesian Model (2015) (0)
Best Policy Identification in Linear MDPs (2022) (0)
Optimal Algorithms for Multiplayer Multi-Armed Bandits (Supplementary Material) (2020) (0)
Online Learning of Optimally Diverse Rankings: Extended Abstract (2019) (0)
Distributed Proportional Fair Load Balancing in Heterogenous Systems (2015) (0)
New Results - Design and Performance Analysis of Wireless Networks (2004) (0)

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Other Resources About Alexandre Proutiere

en.wikipedia.org

What Schools Are Affiliated With Alexandre Proutiere?

Alexandre Proutiere is affiliated with the following schools:

KTH Royal Institute of Technology