Sample Complexity Lower Bounds for Linear System Identification. - Yassir Jedra; Alexandre Proutière (CDC, 2019)

Optimal Algorithms for Multiplayer Multi-Armed Bandits. - Po-An Wang; Alexandre Proutière; Kaito Ariu; Yassir Jedra; Alessio Russo (AISTATS, 2020)

Finite-time Identification of Stable Linear Systems Optimality of the Least-Squares Estimator. - Yassir Jedra; Alexandre Proutière (CDC, 2020)

Optimal Best-arm Identification in Linear Bandits. - Yassir Jedra; Alexandre Proutière (NeurIPS, 2020)

Minimal Expected Regret in Linear Quadratic Control. - Yassir Jedra; Alexandre Proutière (AISTATS, 2022)

Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach. - Filippo Vannella; Alexandre Proutière; Yassir Jedra; Jaeseong Jeong (INFOCOM, 2022)

Nearly Optimal Latent State Decoding in Block MDPs. - Yassir Jedra; Junghyun Lee; Alexandre Proutière; Se-Young Yun (AISTATS, 2023)

Best Policy Identification in Linear MDPs. - Jérôme Taupin; Yassir Jedra; Alexandre Proutière (Allerton, 2023)

A Tutorial on the Non-Asymptotic Theory of System Identification. - Ingvar M. Ziemann; Anastasios Tsiamis; Bruce D. Lee; Yassir Jedra; Nikolai Matni; George J. Pappas (CDC, 2023)

Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning. - Stefan Stojanovic; Yassir Jedra; Alexandre Proutière (NeurIPS, 2023)

Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization. - Axel Grönland; Alessio Russo; Yassir Jedra; Bleron Klaiqi; Xavier Gelabert (CoRR, 2023)

Statistical Learning in Linearly Structured Systems: Identification, Control, and Reinforcement Learning. - Yassir Jedra (2023)

Finite-Time Identification of Linear Systems: Fundamental Limits and Optimal Algorithms. - Yassir Jedra; Alexandre Proutière (IEEE Trans. Autom. Control., 2023)

Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery. - Yassir Jedra; William Réveillard; Stefan Stojanovic; Alexandre Proutière (ICML, 2024)

Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation. - Stefan Stojanovic; Yassir Jedra; Alexandre Proutière (NeurIPS, 2024)

Learning Linear Dynamics from Bilinear Observations. - Yahya Sattar; Yassir Jedra; Sarah Dean (CoRR, 2024)

Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandits Approach. - Filippo Vannella; Alexandre Proutière; Yassir Jedra; Jaeseong Jeong (IEEE Trans. Mob. Comput., 2024)

Finite Sample Identification of Partially Observed Bilinear Dynamical Systems. - Yahya Sattar; Yassir Jedra; Maryam Fazel; Sarah Dean (L4DC, 2025)

k-SVD with Gradient Descent. - Emily Gan; Yassir Jedra; Devavrat Shah (CoRR, 2025)

Optimal Transfer Learning for Missing Not-at-Random Matrix Completion. - Akhil Jalan; Yassir Jedra; Arya Mazumdar; Soumendu Sundar Mukherjee; Purnamrita Sarkar (CoRR, 2025)

Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations. - Yahya Sattar; Sunmook Choi; Yassir Jedra; Maryam Fazel; Sarah Dean (CoRR, 2025)

Near-Optimal Clustering in Mixture of Markov Chains. - Junghyun Lee; Yassir Jedra; Alexandre Proutière; Se-Young Yun (CoRR, 2025)

Minimal Order Recovery through Rank-adaptive Identification. - Frédéric Zheng; Yassir Jedra; Alexandre Proutière (CoRR, 2025)