Hassibi, Babak

29 publications

ICML 2024 Infinite-Horizon Distributionally Robust Regret-Optimal Control Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

NeurIPS 2024 Universality in Transfer Learning for Linear Models Reza Ghane, Danil Akhtiamov, Babak Hassibi

L4DC 2024 Wasserstein Distributionally Robust Regret-Optimal Control over Infinite-Horizon Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

COLT 2023 Precise Asymptotic Analysis of Deep Random Feature Models David Bosch, Ashkan Panahi, Babak Hassibi

AISTATS 2022 Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Animashree Anandkumar

L4DC 2022 Online Estimation and Control with Optimal Pathlength Regret Gautam Goel, Babak Hassibi

COLT 2022 Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control Taylan Kargin, Sahin Lale, Kamyar Azizzadenesheli, Animashree Anandkumar, Babak Hassibi

AISTATS 2021 Regret-Optimal Filtering Oron Sabag, Babak Hassibi

L4DC 2021 Finite-Time System Identification and Adaptive Control in Autoregressive Exogenous Systems Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

L4DC 2021 Regret-Optimal Measurement-Feedback Control Gautam Goel, Babak Hassibi

L4DC 2021 Stability and Identification of Random Asynchronous Linear Time-Invariant Systems Sahin Lale, Oguzhan Teke, Babak Hassibi, Anima Anandkumar

NeurIPS 2020 Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi, Anima Anandkumar

ICML 2020 The Performance Analysis of Generalized Margin Maximizers on Separable Data Fariborz Salehi, Ehsan Abbasi, Babak Hassibi

ICLR 2019 Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization Navid Azizan, Babak Hassibi

NeurIPS 2019 The Impact of Regularization on High-Dimensional Logistic Regression Fariborz Salehi, Ehsan Abbasi, Babak Hassibi

NeurIPS 2019 Universality in Learning from Linear Measurements Ehsan Abbasi, Fariborz Salehi, Babak Hassibi

NeurIPS 2018 Learning Without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity Fariborz Salehi, Ehsan Abbasi, Babak Hassibi

ICML 2018 Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering Ahmed Douik, Babak Hassibi

NeurIPS 2017 A Universal Analysis of Large-Scale Regularized Least Squares Solutions Ashkan Panahi, Babak Hassibi

AAAI 2017 Entropic Causal Inference Murat Kocaoglu, Alexandros G. Dimakis, Sriram Vishwanath, Babak Hassibi

NeurIPS 2016 Crowdsourced Clustering: Querying Edges vs Triangles Ramya Korlakai Vinayak, Babak Hassibi

NeurIPS 2016 Fundamental Limits of Budget-Fidelity Trade-Off in Label Crowdsourcing Farshad Lahouti, Babak Hassibi

NeurIPS 2015 LASSO with Non-Linear Measurements Is Equivalent to One with Linear Measurements Christos Thrampoulidis, Ehsan Abbasi, Babak Hassibi

COLT 2015 Regularized Linear Regression: A Precise Analysis of the Estimation Error Christos Thrampoulidis, Samet Oymak, Babak Hassibi

NeurIPS 2014 Graph Clustering with Missing Data: Convex Algorithms and Analysis Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi

NeurIPS 1994 H∞ Optimal Training Algorithms and Their Relation to Backpropagation Babak Hassibi, Thomas Kailath

NeurIPS 1993 Hoo Optimality Criteria for LMS and Backpropagation Babak Hassibi, Ali H. Sayed, Thomas Kailath

NeurIPS 1993 Optimal Brain Surgeon: Extensions and Performance Comparisons Babak Hassibi, David G. Stork, Gregory Wolff

NeurIPS 1992 Second Order Derivatives for Network Pruning: Optimal Brain Surgeon Babak Hassibi, David G. Stork