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Learning Rate Schedules in the Presence of Distribution Shift
v1v2 (latest)

Learning Rate Schedules in the Presence of Distribution Shift

27 March 2023
Matthew Fahrbach
Adel Javanmard
Vahab Mirrokni
Pratik Worah
ArXiv (abs)PDFHTML

Papers citing "Learning Rate Schedules in the Presence of Distribution Shift"

5 / 5 papers shown
Title
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
Adel Javanmard
Matthew Fahrbach
Vahab Mirrokni
65
3
0
07 Feb 2024
A call for embodied AI
A call for embodied AI
Giuseppe Paolo
Jonas Gonzalez-Billandon
Balázs Kégl
LM&Ro
85
9
0
06 Feb 2024
A Stability Principle for Learning under Non-Stationarity
A Stability Principle for Learning under Non-Stationarity
Chengpiao Huang
Kaizheng Wang
109
3
0
27 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to
  Distribution Shift
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Yihao Xue
Siddharth Joshi
Dang Nguyen
Baharan Mirzasoleiman
VLM
71
4
0
08 Oct 2023
Unified Embedding: Battle-Tested Feature Representations for Web-Scale
  ML Systems
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems
Benjamin Coleman
Wang-Cheng Kang
Matthew Fahrbach
Ruoxi Wang
Lichan Hong
Ed H. Chi
D. Cheng
100
11
0
20 May 2023
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