• "Model Learning Predictive Control in Nonlinear Dynamical Systems"

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Conference on Decision and Control (CDC) 2021

• "Beyond Implicit Regularization: Avoiding Overfitting via Regularizer Mirror Descent" [Link]

Navid Azizan, Sahin Lale, Babak Hassibi

Spotlight in ICML 2021 Overparameterization: Pitfalls & Opportunities Workshop

Under Review

• "Finite-time System Identification and Adaptive Control in ARX Systems" [Link] [Arxiv]

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Learning for Dynamics and Control (L4DC) 2021

• "Stable Online Control of Linear Time-Varying Systems" [Link]

Guannan Qu*, Yuanyuan Shi*, Sahin Lale*, Anima Anandkumar, Adam Wierman (*equal contribution)

Learning for Dynamics and Control (L4DC) 2021

• "Stability and Identification of Random Asynchronous Linear Time-Invariant Systems" [Link]

Sahin Lale*, Oguzhan Teke*, Babak Hassibi, Anima Anandkumar (*equal contribution)

Learning for Dynamics and Control (L4DC) 2021

• "Regret-Optimal Full-Information Control" [Link]

Oron Sabag, Sahin Lale, Gautam Goel, Babak Hassibi

American Control Conference (ACC) 2021

Extended version under review

• "Explore More and Improve Regret in Linear Quadratic Regulators" [Link]

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

Under Review

• "Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization" [Link] [Code]

Navid Azizan, Sahin Lale, Babak Hassibi

IEEE Transactions on Neural Networks and Learning Systems, 2021

ICML 2019 Generalization Workshop

• "Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting" [Link]

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

American Control Conference (ACC) 2021

• "Regret Minimization in Partially Observable Linear Quadratic Control" [Link]

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

NeurIPS 2019 Safety and Robustness in Decision-making Workshop

Under Review

• "Stochastic Linear Bandits with Hidden Low Rank Structure" [Link]

Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

NeurIPS 2019 Machine Learning with Guarantees Workshop

Under Review

• "A Study of Generalization of Stochastic Mirror Descent Algorithms on Overparameterized Nonlinear Models" [Link]

Navid Azizan, Sahin Lale, Babak Hassibi

2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)