Sahin Lale

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 33

Top Topics

Reinforcement Learning

Regret Minimization

Optimal Control

Top Venues

Publications

Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi
Thompson Sampling for Partially Observable Linear-Quadratic Control. ACC (2023)
K. Nithin Varma, Sahin Lale, Babak Hassibi
The Asymptotic Distribution of the Stochastic Mirror Descent Iterates in Linear Models. ISIT (2023)
Benyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. BioCAS (2023)
Benyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami
EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification. CoRR (2023)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems. CDC (2023)
Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar, Morteza Gharib
Forecasting subcritical cylinder wakes with Fourier Neural Operators. CoRR (2023)
Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar
KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems. CoRR (2022)
Navid Azizan, Sahin Lale, Babak Hassibi
Stochastic Mirror Descent on Overparameterized Nonlinear Models. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Navid Azizan, Sahin Lale, Babak Hassibi
Explicit Regularization via Regularizer Mirror Descent. CoRR (2022)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems. AISTATS (2022)
Oron Sabag, Sahin Lale, Babak Hassibi
Competitive-Ratio and Regret-Optimal Control with General Weights. CDC (2022)
Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi
Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control. CoRR (2022)
Oron Sabag, Sahin Lale, Babak Hassibi
Optimal Competitive-Ratio Control. CoRR (2022)
Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control. COLT (2022)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting. ACC (2021)
Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
Stable Online Control of Linear Time-Varying Systems. CoRR (2021)
Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems. L4DC (2021)
Oron Sabag, Gautam Goel, Sahin Lale, Babak Hassibi
Regret-Optimal Full-Information Control. CoRR (2021)
Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman
Stable Online Control of Linear Time-Varying Systems. L4DC (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. CoRR (2021)
Oron Sabag, Gautam Goel, Sahin Lale, Babak Hassibi
Regret-Optimal Controller for the Full-Information Problem. ACC (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems. L4DC (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Model Learning Predictive Control in Nonlinear Dynamical Systems. CDC (2021)
Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar
CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning. CoRR (2021)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Regret Minimization in Partially Observable Linear Quadratic Control. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. NeurIPS (2020)
Navid Azizan, Sahin Lale, Babak Hassibi
A Study of Generalization of Stochastic Mirror Descent Algorithms on Overparameterized Nonlinear Models. ICASSP (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Explore More and Improve Regret in Linear Quadratic Regulators. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems. CoRR (2020)
Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems. CoRR (2020)
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems. CoRR (2020)
Navid Azizan Ruhi, Sahin Lale, Babak Hassibi
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization. CoRR (2019)
Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi
Stochastic Linear Bandits with Hidden Low Rank Structure. CoRR (2019)