Alexandre Proutière

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 116

Top Venues

Publications

Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. SIGMETRICS/Performance (Abstracts) (2024)
Deming Yuan, Lei Wang, Alexandre Proutière, Guodong Shi
Distributed zeroth-order optimization: Convergence rates that match centralized counterpart. Autom. 159 (2024)
Yassir Jedra, William Réveillard, Stefan Stojanovic, Alexandre Proutière
Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery. CoRR (2024)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
RoME-QCD: Robust and Measurement Efficient Quickest Change Detection in 5G Networks. TMA (2024)
Alessio Russo, Alexandre Proutière
Model-Free Active Exploration in Reinforcement Learning. CoRR (2024)
Kaito Ariu, Jungseul Ok, Alexandre Proutière, Seyoung Yun
Optimal clustering from noisy binary feedback. Mach. Learn. 113 (5) (2024)
Frédéric Zheng, Alexandre Proutière
Conformal Predictions under Markovian Data. CoRR (2024)
Hongsheng Qi, Bo Li, Rui-Juan Jing, Lei Wang, Alexandre Proutière, Guodong Shi
Distributed Algorithms for Boolean Equations Over Networks. IEEE Trans. Autom. Control. 68 (11) (2023)
Stefan Stojanovic, Yassir Jedra, Alexandre Proutière
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning. CoRR (2023)
Damianos Tranos, Alessio Russo, Alexandre Proutière
Self-Tuning Tube-based Model Predictive Control. ACC (2023)
Kaito Ariu, Alexandre Proutière, Se-Young Yun
Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. CoRR (2023)
Filippo Vannella, Alexandre Proutière, Jaeseong Jeong
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits. NeurIPS (2023)
Daniele Foffano, Alessio Russo, Alexandre Proutière
Conformal Off-Policy Evaluation in Markov Decision Processes. CoRR (2023)
Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutière
Best Arm Identification with Fixed Budget: A Large Deviation Perspective. NeurIPS (2023)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Change Point Detection with Adaptive Measurement Schedules for Network Performance Verification. Proc. ACM Meas. Anal. Comput. Syst. 7 (3) (2023)
Alessio Russo, Alexandre Proutière
Model-Free Active Exploration in Reinforcement Learning. NeurIPS (2023)
Alessio Russo, Alexandre Proutière
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure. AAAI (2023)
Alessio Russo, Alexandre Proutière
Tube-Based Zonotopic Data-Driven Predictive Control. ACC (2023)
Jérôme Taupin, Yassir Jedra, Alexandre Proutière
Best Policy Identification in Linear MDPs. Allerton (2023)
Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutière
Best Arm Identification with Fixed Budget: A Large Deviation Perspective. CoRR (2023)
Yassir Jedra, Alexandre Proutière
Finite-Time Identification of Linear Systems: Fundamental Limits and Optimal Algorithms. IEEE Trans. Autom. Control. 68 (5) (2023)
Damianos Tranos, Alexandre Proutière
Sub-linear Regret in Adaptive Model Predictive Control. CoRR (2023)
Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutière, Chi-Jen Lu
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits. NeurIPS (2023)
Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun
Nearly Optimal Latent State Decoding in Block MDPs. AISTATS (2023)
Po-An Wang, Kaito Ariu, Alexandre Proutière
On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget. CoRR (2023)
Filippo Vannella, Jaeseong Jeong, Alexandre Proutière
Off-Policy Learning in Contextual Bandits for Remote Electrical Tilt Optimization. IEEE Trans. Veh. Technol. 72 (1) (2023)
Daniele Foffano, Alessio Russo, Alexandre Proutière
Conformal Off-Policy Evaluation in Markov Decision Processes. CDC (2023)
Filippo Vannella, Alexandre Proutière, Jaeseong Jeong
Best Arm Identification in Multi-Agent Multi-Armed Bandits. ICML (2023)
Stefan Stojanovic, Yassir Jedra, Alexandre Proutière
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning. NeurIPS (2023)
Alessio Russo, Alexandre Proutière
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. ACC (2022)
Yassir Jedra, Junghyun Lee, Alexandre Proutière, Se-Young Yun
Nearly Optimal Latent State Decoding in Block MDPs. CoRR (2022)
Jerome Taupin, Yassir Jedra, Alexandre Proutière
Best Policy Identification in Linear MDPs. CoRR (2022)
Filippo Vannella, Alexandre Proutière, Yassir Jedra, Jaeseong Jeong
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach. CoRR (2022)
Filippo Vannella, Alexandre Proutière, Yassir Jedra, Jaeseong Jeong
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach. INFOCOM (2022)
Kaito Ariu, Kenshi Abe, Alexandre Proutière
Thresholded Lasso Bandit. ICML (2022)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. GLOBECOM (2022)
Alessio Russo, Alexandre Proutière
Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems. CoRR (2022)
Deming Yuan, Alexandre Proutière, Guodong Shi
Distributed Online Optimization With Long-Term Constraints. IEEE Trans. Autom. Control. 67 (3) (2022)
Damianos Tranos, Alessio Russo, Alexandre Proutière
Self-Tuning Tube-based Model Predictive Control. CoRR (2022)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Measurement-based Admission Control in Sliced Networks: A Best Arm Identification Approach. CoRR (2022)
Alessio Russo, Alexandre Proutière
Tube-Based Zonotopic Data-Driven Predictive Control. CoRR (2022)
Yassir Jedra, Alexandre Proutière
Minimal Expected Regret in Linear Quadratic Control. AISTATS (2022)
Alessio Russo, Alexandre Proutière
On the Sample Complexity of Representation Learning in Multi-task Bandits with Global and Local structure. CoRR (2022)
Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière
Navigating to the Best Policy in Markov Decision Processes. CoRR (2021)
Damianos Tranos, Alexandre Proutière
Regret Analysis in Deterministic Reinforcement Learning. CoRR (2021)
Alessio Russo, Alexandre Proutière
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. CDC (2021)
Damianos Tranos, Alexandre Proutière
Regret Analysis in Deterministic Reinforcement Learning. CDC (2021)
Alessio Russo, Marco Molinari, Alexandre Proutière
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study. MED (2021)
Alessio Russo, Alexandre Proutière
Poisoning Attacks against Data-Driven Control Methods. CoRR (2021)
Alessio Russo, Alexandre Proutière
Balancing detectability and performance of attacks on the control channel of Markov Decision Processes. CoRR (2021)
Alessio Russo, Marco Molinari, Alexandre Proutière
Data-Driven Control and Data-Poisoning attacks in Buildings: the KTH Live-In Lab case study. CoRR (2021)
Aymen Al Marjani, Aurélien Garivier, Alexandre Proutière
Navigating to the Best Policy in Markov Decision Processes. NeurIPS (2021)
Stefan Magureanu, Alexandre Proutière, Marcus Isaksson, Boxun Zhang
Online Learning of Optimally Diverse Rankings. CoRR (2021)
Deming Yuan, Alexandre Proutière, Guodong Shi
Distributed Online Linear Regressions. IEEE Trans. Inf. Theory 67 (1) (2021)
Alessio Russo, Alexandre Proutière
Poisoning Attacks against Data-Driven Control Methods. ACC (2021)
Alessio Russo, Alexandre Proutière
Towards Optimal Attacks on Reinforcement Learning Policies. ACC (2021)
Yassir Jedra, Alexandre Proutière
Minimal Expected Regret in Linear Quadratic Control. CoRR (2021)
Alessio Russo, Alexandre Proutière
Minimizing Information Leakage of Abrupt Changes in Stochastic Systems. CoRR (2021)
Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutière
Fast Pure Exploration via Frank-Wolfe. NeurIPS (2021)
Aymen Al Marjani, Alexandre Proutière
Adaptive Sampling for Best Policy Identification in Markov Decision Processes. ICML (2021)
Filippo Vannella, Jaeseong Jeong, Alexandre Proutière
Off-policy Learning for Remote Electrical Tilt Optimization. CoRR (2020)
Richard Combes, Alexandre Proutière, Alexandre Fauquette
Unimodal Bandits with Continuous Arms: Order-optimal Regret without Smoothness. Proc. ACM Meas. Anal. Comput. Syst. 4 (1) (2020)
Yassir Jedra, Alexandre Proutière
Finite-time Identification of Stable Linear Systems Optimality of the Least-Squares Estimator. CDC (2020)
Filippo Vannella, Jaeseong Jeong, Alexandre Proutière
Off-policy Learning for Remote Electrical Tilt Optimization. VTC Fall (2020)
Yassir Jedra, Alexandre Proutière
Optimal Best-arm Identification in Linear Bandits. NeurIPS (2020)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Predictive Bandits. CDC (2020)
Aymen Al Marjani, Alexandre Proutière
Best Policy Identification in discounted MDPs: Problem-specific Sample Complexity. CoRR (2020)
Richard Combes, Alexandre Proutière, Alexandre Fauquette
Unimodal Bandits with Continuous Arms: Order-optimal Regret without Smoothness. SIGMETRICS (Abstracts) (2020)
Yassir Jedra, Alexandre Proutière
Finite-time Identification of Stable Linear Systems: Optimality of the Least-Squares Estimator. CoRR (2020)
Simon Lindståhl, Alexandre Proutière, Andreas Johnsson
Predictive Bandits. CoRR (2020)
Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
Regret in Online Recommendation Systems. NeurIPS (2020)
Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
Regret in Online Recommendation Systems. CoRR (2020)
Yassir Jedra, Alexandre Proutière
Optimal Best-arm Identification in Linear Bandits. CoRR (2020)
Po-An Wang, Alexandre Proutière, Kaito Ariu, Yassir Jedra, Alessio Russo
Optimal Algorithms for Multiplayer Multi-Armed Bandits. AISTATS (2020)
Hongsheng Qi, Bo Li, Rui-Juan Jing, Alexandre Proutière, Guodong Shi
Distributedly Solving Boolean Equations over Networks. CDC (2020)
Kaito Ariu, Kenshi Abe, Alexandre Proutière
Thresholded LASSO Bandit. CoRR (2020)
Deming Yuan, Alexandre Proutière, Guodong Shi
Distributed Online Linear Regression. CoRR (2019)
Nikolai Matni, Alexandre Proutière, Anders Rantzer, Stephen Tu
From self-tuning regulators to reinforcement learning and back again. CDC (2019)
Nikolai Matni, Alexandre Proutière, Anders Rantzer, Stephen Tu
From self-tuning regulators to reinforcement learning and back again. CoRR (2019)
Yassir Jedra, Alexandre Proutière
Sample Complexity Lower Bounds for Linear System Identification. CoRR (2019)
Yassir Jedra, Alexandre Proutière
Sample Complexity Lower Bounds for Linear System Identification. CDC (2019)
Alexandre Proutière, Po-An Wang
An Optimal Algorithm in Multiplayer Multi-Armed Bandits. CoRR (2019)
Alessio Russo, Alexandre Proutière
Optimal Attacks on Reinforcement Learning Policies. CoRR (2019)
Erik Lindén, Jonas Sjöstrand, Alexandre Proutière
Learning to Personalize in Appearance-Based Gaze Tracking. ICCV Workshops (2019)
Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun
Optimal Clustering from Noisy Binary Feedback. CoRR (2019)
Deming Yuan, Alexandre Proutière, Guodong Shi
Distributed Online Optimization with Long-Term Constraints. CoRR (2019)
Richard Combes, Jungseul Ok, Alexandre Proutière, Donggyu Yun, Yung Yi
Optimal Rate Sampling in 802.11 Systems: Theory, Design, and Implementation. IEEE Trans. Mob. Comput. 18 (5) (2019)
Rajat Talak, D. Manjunath, Alexandre Proutière
Strategic arrivals to queues offering priority service. Queueing Syst. Theory Appl. 92 (1-2) (2019)
Se-Young Yun, Alexandre Proutière
Optimal Sampling and Clustering in the Stochastic Block Model. NeurIPS (2019)
Donggyu Yun, Alexandre Proutière, Sumyeong Ahn, Jinwoo Shin, Yung Yi
Multi-armed Bandit with Additional Observations. Proc. ACM Meas. Anal. Comput. Syst. 2 (1) (2018)
Bo Li, Junfeng Wu, Hongsheng Qi, Alexandre Proutière, Guodong Shi
Boolean Gossip Networks. IEEE/ACM Trans. Netw. 26 (1) (2018)
Richard Combes, Stefan Magureanu, Alexandre Proutière
Generic Asymptotically Optimal Algorithms for Multi-Armed Bandits. Allerton (2018)
Jungseul Ok, Alexandre Proutière, Damianos Tranos
Exploration in Structured Reinforcement Learning. CoRR (2018)
Donggyu Yun, Sumyeong Ahn, Alexandre Proutière, Jinwoo Shin, Yung Yi
Multi-armed Bandit with Additional Observations. SIGMETRICS (Abstracts) (2018)
Jungseul Ok, Alexandre Proutière, Damianos Tranos
Exploration in Structured Reinforcement Learning. NeurIPS (2018)
Erik Lindén, Jonas Sjöstrand, Alexandre Proutière
Appearance-Based 3D Gaze Estimation with Personal Calibration. CoRR (2018)
Mohammad Sadegh Talebi, Alexandre Proutière
Learning Proportionally Fair Allocations with Low Regret. SIGMETRICS (Abstracts) (2018)
Mohammad Sadegh Talebi, Alexandre Proutière
Learning Proportionally Fair Allocations with Low Regret. Proc. ACM Meas. Anal. Comput. Syst. 2 (2) (2018)
Mohammad Sadegh Talebi, Zhenhua Zou, Richard Combes, Alexandre Proutière, Mikael Johansson
Stochastic Online Shortest Path Routing: The Value of Feedback. IEEE Trans. Autom. Control. 63 (4) (2018)
Stefan Magureanu, Alexandre Proutière, Marcus Isaksson, Boxun Zhang
Online Learning of Optimally Diverse Rankings. SIGMETRICS (Abstracts) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexandre Proutière