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Poster
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Wed 9:00
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LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness
Xiaojun Xu · Linyi Li · Bo Li
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Poster
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Wed 9:00
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On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning
Lorenzo Bonicelli · Matteo Boschini · Angelo Porrello · Concetto Spampinato · SIMONE CALDERARA
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Poster
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Thu 9:00
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Can Push-forward Generative Models Fit Multimodal Distributions?
Antoine Salmona · Valentin De Bortoli · Julie Delon · Agnes Desolneux
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Poster
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Thu 9:00
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A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
Damek Davis · Dmitriy Drusvyatskiy · Yin Tat Lee · Swati Padmanabhan · Guanghao Ye
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Poster
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Wed 9:00
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Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
Zhouxing Shi · Yihan Wang · Huan Zhang · J. Zico Kolter · Cho-Jui Hsieh
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Poster
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Tue 14:00
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Pay attention to your loss : understanding misconceptions about Lipschitz neural networks
Louis Béthune · Thibaut Boissin · Mathieu Serrurier · Franck Mamalet · Corentin Friedrich · Alberto Gonzalez Sanz
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Poster
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Tue 14:00
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Efficient Training of Low-Curvature Neural Networks
Suraj Srinivas · Kyle Matoba · Himabindu Lakkaraju · François Fleuret
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Poster
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Tue 9:00
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Improved techniques for deterministic l2 robustness
Sahil Singla · Soheil Feizi
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Poster
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Wed 9:00
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Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
Bohang Zhang · Du Jiang · Di He · Liwei Wang
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Poster
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Wed 9:00
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A Quantitative Geometric Approach to Neural-Network Smoothness
Zi Wang · Gautam Prakriya · Somesh Jha
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Workshop
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Parameter Free Dual Averaging: Optimizing Lipschitz Functions in a Single Pass
Aaron Defazio · Konstantin Mishchenko
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Workshop
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Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses & Extension to Non-Convex Losses
Andrew Lowy · Meisam Razaviyayn
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