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07/13/2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems
Recently Chen and Poor initiated the study of learning mixtures of linea...
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01/23/2023
A New Approach to Learning Linear Dynamical Systems
Linear dynamical systems are the foundational statistical model upon whi...
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12/07/2021
Approximating Nash Equilibrium in Random Graphical Games
Computing Nash equilibrium in multi-agent games is a longstanding challe...
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11/11/2021
Kalman Filtering with Adversarial Corruptions
Here we revisit the classic problem of linear quadratic estimation, i.e....
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10/08/2020
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination
In this work we revisit two classic high-dimensional online learning pro...
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06/08/2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability
In this paper we revisit some classic problems on classification under m...
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05/20/2020
List Decodable Mean Estimation in Nearly Linear Time
Learning from data in the presence of outliers is a fundamental problem ...
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02/07/2020
List Decodable Subspace Recovery
Learning from data in the presence of outliers is a fundamental problem ...
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05/12/2019
