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07/11/2023
Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning
We develop and analyze stochastic approximation algorithms for solving n...
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04/21/2023
Learn What NOT to Learn: Towards Generative Safety in Chatbots
Conversational models that are generative and open-domain are particular...
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02/20/2023
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization
We focus on decentralized stochastic non-convex optimization, where n ag...
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06/22/2022
Projection-free Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data
We study a projection-free conditional gradient-type algorithm for const...
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05/26/2022
RIGID: Robust Linear Regression with Missing Data
We present a robust framework to perform linear regression with missing ...
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02/09/2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
We propose a projection-free conditional gradient-type algorithm for smo...
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01/01/2022
The Parametric Cost Function Approximation: A new approach for multistage stochastic programming
The most common approaches for solving multistage stochastic programming...
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09/28/2020
Escaping Saddle-Points Faster under Interpolation-like Conditions
In this paper, we show that under over-parametrization several standard ...
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08/24/2020
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates
In this paper, we study smooth stochastic multi-level composition optimi...
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06/15/2020
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions
We analyze stochastic conditional gradient type methods for constrained ...
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07/31/2019
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization
Bandit algorithms have been predominantly analyzed in the convex setting...
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02/04/2019
Non-asymptotic Results for Langevin Monte Carlo: Coordinate-wise and Black-box Sampling
Euler-Maruyama and Ozaki discretization of a continuous time diffusion p...
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09/17/2018
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
In this paper, we propose and analyze zeroth-order stochastic approximat...
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08/29/2015
Generalized Uniformly Optimal Methods for Nonlinear Programming
In this paper, we present a generic framework to extend existing uniform...
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09/22/2013
