Sahin Lale

According to our database, Sahin Lale authored at least 28 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Forecasting subcritical cylinder wakes with Fourier Neural Operators.

Peter I Renn, Cong Wang, Sahin Lale, Zongyi Li, Anima Anandkumar, Morteza Gharib

CoRR, 2023

The Asymptotic Distribution of the Stochastic Mirror Descent Iterates in Linear Models.

K. Nithin Varma, Sahin Lale, Babak Hassibi

Proceedings of the IEEE International Symposium on Information Theory, 2023

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems.

Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification.

Benyamin Allahgholizadeh Haghi, Lin Ma, Sahin Lale, Anima Anandkumar, Azita Emami

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Thompson Sampling for Partially Observable Linear-Quadratic Control.

Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi

Proceedings of the American Control Conference, 2023

2022

Stochastic Mirror Descent on Overparameterized Nonlinear Models.

Navid Azizan, Sahin Lale, Babak Hassibi

IEEE Trans. Neural Networks Learn. Syst., 2022

Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control.

Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi

CoRR, 2022

Optimal Competitive-Ratio Control.

Oron Sabag, Sahin Lale, Babak Hassibi

CoRR, 2022

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems.

Sahin Lale, Yuanyuan Shi, Guannan Qu, Kamyar Azizzadenesheli, Adam Wierman, Anima Anandkumar

CoRR, 2022

Explicit Regularization via Regularizer Mirror Descent.

Navid Azizan, Sahin Lale, Babak Hassibi

CoRR, 2022

Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control.

Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Competitive-Ratio and Regret-Optimal Control with General Weights.

Oron Sabag, Sahin Lale, Babak Hassibi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning.

Kevin Huang, Sahin Lale, Ugo Rosolia, Yuanyuan Shi, Anima Anandkumar

CoRR, 2021

Regret-Optimal Full-Information Control.

Oron Sabag, Gautam Goel, Sahin Lale, Babak Hassibi

CoRR, 2021

Stable Online Control of Linear Time-Varying Systems.

Guannan Qu, Yuanyuan Shi, Sahin Lale, Anima Anandkumar, Adam Wierman

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Stability and Identification of Random Asynchronous Linear Time-Invariant Systems.

Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Model Learning Predictive Control in Nonlinear Dynamical Systems.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Regret-Optimal Controller for the Full-Information Problem.

Oron Sabag, Gautam Goel, Sahin Lale, Babak Hassibi

Proceedings of the 2021 American Control Conference, 2021

Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Proceedings of the 2021 American Control Conference, 2021

2020

Explore More and Improve Regret in Linear Quadratic Regulators.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

CoRR, 2020

Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

CoRR, 2020

Regret Minimization in Partially Observable Linear Quadratic Control.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

CoRR, 2020

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems.

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Study of Generalization of Stochastic Mirror Descent Algorithms on Overparameterized Nonlinear Models.

Navid Azizan, Sahin Lale, Babak Hassibi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization.

Navid Azizan Ruhi, Sahin Lale, Babak Hassibi

CoRR, 2019

Stochastic Linear Bandits with Hidden Low Rank Structure.

Sahin Lale, Kamyar Azizzadenesheli, Anima Anandkumar, Babak Hassibi

CoRR, 2019