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Oral
Tue 12:00 Randomized Automatic Differentiation
Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams
Poster
Thu 17:00 Randomized Automatic Differentiation
Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams
Poster
Tue 9:00 On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
Poster
Tue 9:00 DC3: A learning method for optimization with hard constraints
Priya Donti · David Rolnick · Zico Kolter
Poster
Wed 17:00 A Geometric Analysis of Deep Generative Image Models and Its Applications
Binxu Wang · Carlos Ponce
Poster
Thu 9:00 Enforcing robust control guarantees within neural network policies
Priya Donti · Melrose Roderick · Mahyar Fazlyab · Zico Kolter
Poster
Tue 17:00 A Hypergradient Approach to Robust Regression without Correspondence
Yujia Xie · Yixiu Mao · Simiao Zuo · Hongteng Xu · Xiaojing Ye · Tuo Zhao · Hongyuan Zha
Poster
Tue 17:00 DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Spotlight
Tue 19:15 DDPNOpt: Differential Dynamic Programming Neural Optimizer
Guan-Horng Liu · Tianrong Chen · Evangelos Theodorou
Poster
Tue 17:00 Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant · Sijia Liu · Tamara Mitrovska · Shiyu Chang · Quanfu Fan · Gaoyuan Zhang · Una-May O'Reilly