Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2002.10790
Cited By
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
25 February 2020
Yifan Hu
Siqi Zhang
Xin Chen
Niao He
ODL
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning"
14 / 14 papers shown
Title
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization
Liang Zhang
Junchi Yang
Amin Karbasi
Niao He
24
2
0
26 Oct 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu
Bokun Wang
Zhi Chen
Yaxing Wang
Milan Sonka
Xiaodong Wu
Tianbao Yang
14
3
0
14 May 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
Zhishuai Guo
R. L. Jin
Jiebo Luo
Tianbao Yang
FedML
45
8
0
26 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
35
0
0
12 Oct 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization
Wei Jiang
Gang Li
Yibo Wang
Lijun Zhang
Tianbao Yang
27
16
0
18 Jul 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications
Bokun Wang
Tianbao Yang
31
31
0
24 Feb 2022
Online Estimation and Optimization of Utility-Based Shortfall Risk
Vishwajit Hegde
Arvind S. Menon
L. A. Prashanth
Krishna Jagannathan
19
2
0
16 Nov 2021
Sinkhorn Distributionally Robust Optimization
Jie Wang
Rui Gao
Yao Xie
29
35
0
24 Sep 2021
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
A. Davtyan
Sepehr Sameni
L. Cerkezi
Givi Meishvili
Adam Bielski
Paolo Favaro
ODL
51
2
0
07 Jul 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang
Minghao Yang
Lijun Zhang
Tianbao Yang
34
22
0
02 Jul 2021
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization
Tianyi Chen
Yuejiao Sun
W. Yin
44
81
0
25 Aug 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
(Bandit) Convex Optimization with Biased Noisy Gradient Oracles
Xiaowei Hu
A. PrashanthL.
András Gyorgy
Csaba Szepesvári
76
65
0
22 Sep 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
570
0
08 Dec 2012
1