← Authors

Babak Hassibi

24 papers · 2014–2024 · 6 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (44) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (24) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (114)

Conferences

NIPS (10) L4DC (5) COLT (3) ICML (3) AISTATS (2) ICLR (1)

Top co-authors

Ehsan Abbasi (5) Sahin Lale (5) Kamyar Azizzadenesheli (4) Fariborz Salehi (4) Anima Anandkumar (3) Taylan Kargin (3) Animashree Anandkumar (2) Gautam Goel (2) Joudi Hajar (2) CHRISTOS THRAMPOULIDIS (2)

Research topics

Reinforcement Learning (1)

Keywords

linear dynamical system (5) convex optimization (4) adaptive control (4) regret bound (4) asymptotic analysis (3) signal recovery (3) system identification (3) graph clustering (2) compressed sensing (2) regret optimization (2) compressive sensing (2) logistic regression (2) sparse recovery (2) gaussian min-max theorem (2) phase retrieval (2) kalman filter (2) optimal control (2) sample complexity (1) stochastic gradient descent (1) wasserstein distance (1)

Papers

Universality in Transfer Learning for Linear Models NIPS 2024
Wasserstein distributionally robust regret-optimal control over infinite-horizon L4DC 2024
Infinite-Horizon Distributionally Robust Regret-Optimal Control ICML 2024
Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023
Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control COLT 2022
Online Estimation and Control with Optimal Pathlength Regret L4DC 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021
Regret-Optimal Filtering AISTATS 2021
Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021
Regret-optimal measurement-feedback control L4DC 2021
The Performance Analysis of Generalized Margin Maximizers on Separable Data ICML 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NIPS 2020
The Impact of Regularization on High-dimensional Logistic Regression NIPS 2019
Universality in Learning from Linear Measurements NIPS 2019
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization ICLR 2019
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018
Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NIPS 2018
A Universal Analysis of Large-Scale Regularized Least Squares Solutions NIPS 2017
Crowdsourced Clustering: Querying Edges vs Triangles NIPS 2016
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing NIPS 2016
Regularized Linear Regression: A Precise Analysis of the Estimation Error COLT 2015
LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NIPS 2015
Graph Clustering With Missing Data: Convex Algorithms and Analysis NIPS 2014