Poster
|
Wed 16:30
|
The Price of Implicit Bias in Adversarially Robust Generalization
Nikolaos Tsilivis · Natalie Frank · Nati Srebro · Julia Kempe
|
|
Poster
|
Fri 11:00
|
Implicit Optimization Bias of Next-token Prediction in Linear Models
Christos Thrampoulidis
|
|
Workshop
|
|
Measuring Implicit Bias in Explicitly Unbiased Large Language Models
Xuechunzi Bai · Angelina Wang · Ilia Sucholutsky · Tom Griffiths
|
|
Workshop
|
|
Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
Divyanshu Kumar · Umang Jain · Sahil Agarwal · Prashanth Harshangi
|
|
Workshop
|
|
Measuring Implicit Bias in Explicitly Unbiased Large Language Models
Xuechunzi Bai · Angelina Wang · Ilia Sucholutsky · Tom Griffiths
|
|
Poster
|
|
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing
Yang Xu · Yihong Gu · Cong Fang
|
|
Workshop
|
|
SGD and Weight Decay Secretly Minimize the Rank of Your Neural Network
Tomer Galanti · Zachary Siegel · Aparna Gupte · Tomaso Poggio
|
|
Poster
|
Wed 16:30
|
Implicit Bias of Mirror Flow on Separable Data
Scott Pesme · Radu-Alexandru Dragomir · Nicolas Flammarion
|
|
Workshop
|
|
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
Nikolaos Tsilivis · Gal Vardi · Julia Kempe
|
|
Poster
|
Fri 11:00
|
The Implicit Bias of Adam on Separable Data
Chenyang Zhang · Difan Zou · Yuan Cao
|
|
Workshop
|
|
Implicit Bias of Adam versus Gradient Descent in One-Hidden-Layer Neural Networks
Bhavya Vasudeva · Vatsal Sharan · Mahdi Soltanolkotabi
|
|
Poster
|
Wed 16:30
|
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
Etai Littwin · Omid Saremi · Madhu Advani · Vimal Thilak · Preetum Nakkiran · Chen Huang · Joshua Susskind
|
|