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Stochastic Optimization under Distributional Drift
v1v2v3v4 (latest)

Stochastic Optimization under Distributional Drift

16 August 2021
Joshua Cutler
Dmitriy Drusvyatskiy
Zaïd Harchaoui
ArXiv (abs)PDFHTML

Papers citing "Stochastic Optimization under Distributional Drift"

10 / 10 papers shown
Title
Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
Zhiyu He
S. Bolognani
Florian Dorfler
Michael Muehlebach
105
0
0
10 Mar 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
133
0
0
05 Mar 2025
Online Covariance Estimation in Nonsmooth Stochastic Approximation
L. Jiang
Abhishek Roy
Krishna Balasubramanian
Damek Davis
Dmitriy Drusvyatskiy
Sen Na
119
1
0
07 Feb 2025
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
139
5
0
31 Dec 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
167
3
0
28 Sep 2024
A Stability Principle for Learning under Non-Stationarity
A Stability Principle for Learning under Non-Stationarity
Chengpiao Huang
Kaizheng Wang
99
3
0
27 Oct 2023
Distributionally Time-Varying Online Stochastic Optimization under
  Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk
  Statistical Learning
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning
Yuen-Man Pun
Farhad Farokhi
Iman Shames
25
2
0
18 Sep 2023
Performative Prediction with Bandit Feedback: Learning through
  Reparameterization
Performative Prediction with Bandit Feedback: Learning through Reparameterization
Yatong Chen
Wei Tang
Chien-Ju Ho
Yang Liu
91
6
0
01 May 2023
Making Decisions under Outcome Performativity
Making Decisions under Outcome Performativity
Michael P. Kim
Juan C. Perdomo
89
21
0
04 Oct 2022
Stochastic Approximation with Decision-Dependent Distributions:
  Asymptotic Normality and Optimality
Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality
Joshua Cutler
Mateo Díaz
Dmitriy Drusvyatskiy
96
7
0
09 Jul 2022
1