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Poster
Wed 11:00 On the Number of Linear Regions of Convolutional Neural Networks
Huan Xiong · Lei Huang · Mengyang Yu · Li Liu · Fan Zhu · Ling Shao
Poster
Tue 9:00 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Elan Rosenfeld · Ezra Winston · Pradeep Ravikumar · Zico Kolter
Poster
Tue 12:00 A distributional view on multi-objective policy optimization
Abbas Abdolmaleki · Sandy Huang · Leonard Hasenclever · Michael Neunert · Francis Song · Martina Zambelli · Murilo Martins · Nicolas Heess · Raia Hadsell · Martin Riedmiller
Poster
Tue 8:00 The Tree Ensemble Layer: Differentiability meets Conditional Computation
Hussein Hazimeh · Natalia Ponomareva · Petros Mol · Zhenyu Tan · Rahul Mazumder
Poster
Tue 11:00 Online metric algorithms with untrusted predictions
Antonios Antoniadis · Christian Coester · Marek Elias · Adam Polak · Bertrand Simon
Poster
Tue 8:00 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Esteban Real · Chen Liang · David So · Quoc Le
Poster
Tue 13:00 Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Jonas Köhler · Leon Klein · Frank Noe
Poster
Tue 8:00 Batch Reinforcement Learning with Hyperparameter Gradients
Byung-Jun Lee · Jongmin Lee · Peter Vrancx · Dongho Kim · Kee-Eung Kim
Poster
Tue 10:00 Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson · Or Avner · Edward Groshev · Aviv Tamar
Poster
Tue 15:00 Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
Ching-Yao Chuang · Antonio Torralba · Stefanie Jegelka
Poster
Wed 10:00 AdaScale SGD: A User-Friendly Algorithm for Distributed Training
Tyler Johnson · Pulkit Agrawal · Haijie Gu · Carlos Guestrin
Poster
Wed 11:00 Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime
Stéphane d'Ascoli · Maria Refinetti · Giulio Biroli · Florent Krzakala