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Poster
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Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao · Lei Feng · Hongxin Wei · Jinfeng Yi · Sheng-Jun Huang · Songcan Chen
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Poster
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Tue 9:00
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Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
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Poster
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Wed 14:00
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What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
Nikolaos Tsilivis · Julia Kempe
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Poster
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Thu 14:00
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Distributed Distributionally Robust Optimization with Non-Convex Objectives
Yang Jiao · Kai Yang · Dongjin Song
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Poster
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Wed 14:00
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Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness
Eli Weinstein · Alan Amin · Jonathan Frazer · Debora Marks
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Poster
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Tue 9:00
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Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi
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Poster
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Wed 9:00
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Efficient Non-Parametric Optimizer Search for Diverse Tasks
Ruochen Wang · Yuanhao Xiong · Minhao Cheng · Cho-Jui Hsieh
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Poster
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Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li · Nicolas Donati · Maks Ovsjanikov
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Poster
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Thu 14:00
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Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Avinandan Bose · Arunesh Sinha · Tien Mai
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Poster
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Tue 9:00
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Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng · Tianfu Wu · Christopher Healey
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Workshop
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Feature Restricted Group Dropout for Robust Electronic Health Record Predictions
Bret Nestor · Anna Goldenberg · Marzyeh Ghassemi
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Poster
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Wed 9:00
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Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
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