Poster

Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao · Lei Feng · Hongxin Wei · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen

Poster

Tue 9:00

Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir

Poster

Wed 14:00

What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Nikolaos Tsilivis · Julia Kempe

Poster

Wed 14:00

Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
Eli Weinstein · Alan Amin · Jonathan Frazer · Debora Marks

Poster

Thu 14:00

Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao · Kai Yang · Dongjin Song

Poster

Tue 9:00

Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi

Poster

Wed 9:00

Efficient Non-Parametric Optimizer Search for Diverse Tasks
Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh

Poster

Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li · Nicolas Donati · Maks Ovsjanikov

Poster

Thu 14:00

Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai

Poster

Tue 9:00

Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng · Tianfu Wu · Christopher Healey

Workshop

Feature Restricted Group Dropout for Robust Electronic Health Record Predictions
Bret Nestor · Anna Goldenberg · Marzyeh Ghassemi

Poster

Wed 9:00

Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal