Learning Rate Schedules in the Presence of Distribution Shift

Learning Rate Schedules in the Presence of Distribution Shift

27 March 2023

Matthew Fahrbach

Vahab Mirrokni

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

6 / 6 papers shown

Title
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses Adel Javanmard Matthew Fahrbach Vahab Mirrokni 18 3 0 07 Feb 2024
A call for embodied AI Giuseppe Paolo Jonas Gonzalez-Billandon Balázs Kégl LM&Ro 30 9 0 06 Feb 2024
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 29 2 0 27 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift Yihao Xue Siddharth Joshi Dang Nguyen Baharan Mirzasoleiman VLM 29 4 0 08 Oct 2023
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 25 10 0 20 May 2023
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016