research
∙
07/10/2023
Invex Programs: First Order Algorithms and Their Convergence
Invex programs are a special kind of non-convex problems which attain gl...
share
research
∙
06/22/2023
Outlier-robust Estimation of a Sparse Linear Model Using Invexity
In this paper, we study problem of estimating a sparse regression vector...
research
∙
08/19/2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization
In this work, we propose a robust framework that employs adversarially r...
research
∙
06/02/2022
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation
In this paper, we study the problem of sparse mixed linear regression on...
research
∙
02/19/2021
Information-Theoretic Bounds for Integral Estimation
In this paper, we consider a zero-order stochastic oracle model of estim...
research
∙
02/19/2021
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem
In this paper, we study the problem of fair sparse regression on a biase...
research
∙
02/18/2021
A Simple Unified Framework for High Dimensional Bandit Problems
Stochastic high dimensional bandit problems with low dimensional structu...
research
∙
06/22/2020
Exact Support Recovery in Federated Regression with One-shot Communication
Federated learning provides a framework to address the challenges of dis...
research
∙
04/01/2020
Provable Sample Complexity Guarantees for Learning of Continuous-Action Graphical Games with Nonparametric Utilities
In this paper, we study the problem of learning the exact structure of c...
research
∙
11/08/2019
Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games
In this paper, we study the problem of learning the set of pure strategy...
research
∙
05/29/2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables
In this paper, we provide a method to learn the directed structure of a ...
research
∙
11/16/2018
Information Theoretic Limits for Standard and One-Bit Compressed Sensing with Graph-Structured Sparsity
In this paper, we analyze the information theoretic lower bound on the n...
research
∙
03/12/2018
Learning Binary Bayesian Networks in Polynomial Time and Sample Complexity
We consider the problem of structure learning for binary Bayesian networ...
research
∙
01/26/2017