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Yassir Jedra
Observed name:
Jedra, Yassir
Institutions:
Amazon (United States),
Cornell University,
Fujitsu (United Kingdom),
Imperial College London
Observed institutions:
Amazon (United States),
Cornell University,
Fujitsu (United Kingdom),
Imperial College London,
Massachusetts Institute of Technology,
KTH Royal Institute of Technology
show all 6
ORCID:
0000-0002-4403-1066
Observed ORCID:
0000-0002-4403-1066
OpenAlex ID:
A5082148015
Optimal Algorithms for Multiplayer Multi-Armed Bandits
2019
·
Po-An Wang
, Alexandre Proutière
, et al.
·
International Conference on Artificial Intelligence and Statistics
·
44
Finite-time Identification of Stable Linear Systems Optimality of the Least-Squares Estimator
2020
·
Yassir Jedra
, Alexandre Proutiere
·
IEEE Conference on Decision and Control (CDC)
·
32
PDF
Sample Complexity Lower Bounds for Linear System Identification
2019
·
Yassir Jedra
, Alexandre Proutiere
·
IEEE Conference on Decision and Control (CDC)
·
30
PDF
A Tutorial on the Non-Asymptotic Theory of System Identification
2023
·
Ingvar Ziemann
, Anastasios Tsiamis
, et al.
·
IEEE Conference on Decision and Control (CDC)
·
24
PDF
Finite-Time Identification of Linear Systems: Fundamental Limits and Optimal Algorithms
2022
·
Yassir Jedra
, Alexandre Proutiere
·
IEEE Transactions on Automatic Control
·
23
Optimal Best-arm Identification in Linear Bandits
2020
·
Jedra, Yassir
, Proutiere, Alexandre
·
arXiv (Cornell University)
·
23
PDF
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach
2022
·
Filippo Vannella
, Alexandre Proutiere
, et al.
·
IEEE Conference on Computer Communications (INFOCOM)
·
10
PDF
Minimal Expected Regret in Linear Quadratic Control
2021
·
Jedra, Yassir
, Proutiere, Alexandre
·
arXiv (Cornell University)
·
9
PDF
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandits Approach
2024
·
Filippo Vannella
, Alexandre Proutiere
, et al.
·
IEEE Transactions on Mobile Computing
·
7
Constrained Deep Reinforcement Learning for Fronthaul Compression Optimization
2024
·
Axel Grönland
, Alessio Russo
, et al.
·
IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)
·
3
PDF
Best Policy Identification in Linear MDPs
2023
·
Jérôme Taupin
, Yassir Jedra
, et al.
·
Allerton Conference on Communication, Control, and Computing
·
2
PDF
Learning Linear Dynamics from Bilinear Observations
2025
·
Yahya Sattar
, Yassir Jedra
, et al.
·
Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
·
1
PDF
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
2025
·
Sattar, Yahya
, Jedra, Yassir
, et al.
·
arXiv (Cornell University)
·
1
PDF
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
2024
·
Stefan Stojanovic
, Yassir Jedra
, et al.
·
neural information processing systems
·
1
PDF
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
2023
·
Stefan Stojanovic
, Yassir Jedra
, et al.
·
neural information processing systems
·
1
PDF
Nearly Optimal Latent State Decoding in Block MDPs
2022
·
Jedra, Yassir
, Lee, Junghyun
, et al.
·
arXiv (Cornell University)
·
1
PDF
Performance Gaps Between Open-Loop, Certainty-Equivalent, and Optimal Control Under Action-Dependent Observations
2026
·
Maynard-Zhang, Leo
, Choi, Sunmook
, et al.
·
arXiv (Cornell University)
PDF
Learning and Control Beyond Linearity: Towards a Non-asymptotic Theory for Bilinear Systems
2026
·
Sattar, Yahya
, Jedra, Yassir
, et al.
·
arXiv (Cornell University)
PDF
Two-Layer Linear Auto-Regressive Models Estimate Latent States
2026
·
Sattar, Yahya
, Choi, Sunmook
, et al.
·
arXiv (Cornell University)
PDF
Instance-Optimal Estimation with Multiple LLM Judges on a Budget
2026
·
Lee, Junghyun
, Kim, Sanghwa
, et al.
·
arXiv (Cornell University)
PDF
Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations
2025
·
Yahya Sattar
, Sunmook Choi
, et al.
·
IEEE Conference on Decision and Control (CDC)
PDF
Minimal Order Recovery through Rank-adaptive Identification
2025
·
Frédéric Zheng
, Yassir Jedra
, et al.
·
IEEE Conference on Decision and Control (CDC)
PDF
Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics
2025
·
Choi, Sunmook
, Sattar, Yahya
, et al.
·
arXiv (Cornell University)
PDF
Near-optimal Rank Adaptive Inference of High Dimensional Matrices
2025
·
Zheng, Frédéric
, Jedra, Yassir
, et al.
·
arXiv (Cornell University)
PDF
Near-Optimal Clustering in Mixture of Markov Chains
2025
·
Lee, Junghyun
, Jedra, Yassir
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
31
Citation count:
212
H-index:
8
I10-index:
7
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