ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.07802
  4. Cited By
Efficient Learning with Arbitrary Covariate Shift

Efficient Learning with Arbitrary Covariate Shift

International Conference on Algorithmic Learning Theory (ALT), 2021
15 February 2021
Adam Kalai
Varun Kanade
ArXiv (abs)PDFHTMLGithub

Papers citing "Efficient Learning with Arbitrary Covariate Shift"

8 / 8 papers shown
Reliable Learning of Halfspaces under Gaussian MarginalsNeural Information Processing Systems (NeurIPS), 2024
Ilias Diakonikolas
Lisheng Ren
Nikos Zarifis
305
0
0
18 Nov 2024
Efficient Discrepancy Testing for Learning with Distribution Shift
Efficient Discrepancy Testing for Learning with Distribution Shift
Gautam Chandrasekaran
Adam R. Klivans
Vasilis Kontonis
Konstantinos Stavropoulos
Arsen Vasilyan
266
7
0
13 Jun 2024
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
Tolerant Algorithms for Learning with Arbitrary Covariate Shift
Surbhi Goel
Abhishek Shetty
Konstantinos Stavropoulos
Arsen Vasilyan
OOD
292
12
0
04 Jun 2024
Learning Intersections of Halfspaces with Distribution Shift: Improved
  Algorithms and SQ Lower Bounds
Learning Intersections of Halfspaces with Distribution Shift: Improved Algorithms and SQ Lower BoundsAnnual Conference Computational Learning Theory (COLT), 2024
Adam R. Klivans
Konstantinos Stavropoulos
Arsen Vasilyan
301
13
0
02 Apr 2024
Transfer Learning Beyond Bounded Density Ratios
Transfer Learning Beyond Bounded Density Ratios
Alkis Kalavasis
Ilias Zadik
Manolis Zampetakis
328
6
0
18 Mar 2024
A Learning Based Hypothesis Test for Harmful Covariate Shift
A Learning Based Hypothesis Test for Harmful Covariate ShiftInternational Conference on Learning Representations (ICLR), 2022
T. Ginsberg
Zhongyuan Liang
Rahul G. Krishnan
589
20
0
06 Dec 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?Neural Information Processing Systems (NeurIPS), 2022
Zhen Fang
Shouqing Yang
Jie Lu
Jiahua Dong
Bo Han
Yifan Zhang
OODD
431
174
0
26 Oct 2022
Planting Undetectable Backdoors in Machine Learning Models
Planting Undetectable Backdoors in Machine Learning ModelsIEEE Annual Symposium on Foundations of Computer Science (FOCS), 2022
S. Goldwasser
Michael P. Kim
Vinod Vaikuntanathan
Or Zamir
AAML
293
87
0
14 Apr 2022
1
Page 1 of 1