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The sample complexity of multi-distribution learning

The sample complexity of multi-distribution learning

7 December 2023
Binghui Peng
ArXivPDFHTML

Papers citing "The sample complexity of multi-distribution learning"

6 / 6 papers shown
Title
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Quan Nguyen
Nishant A. Mehta
Cristóbal Guzmán
34
0
0
01 Oct 2024
On-Demand Sampling: Learning Optimally from Multiple Distributions
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
37
34
0
22 Oct 2022
Simple and near-optimal algorithms for hidden stratification and
  multi-group learning
Simple and near-optimal algorithms for hidden stratification and multi-group learning
Abdoreza Asadpour
Daniel J. Hsu
89
20
0
22 Dec 2021
Adaptive Sampling for Minimax Fair Classification
Adaptive Sampling for Minimax Fair Classification
S. Shekhar
Greg Fields
Mohammad Ghavamzadeh
T. Javidi
FaML
27
36
0
01 Mar 2021
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
144
369
0
09 May 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
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