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Poster
Wed 10:45 Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund · Lior Kamma · Kasper Green Larsen · Alexander Mathiasen · Jelani Nelson
Poster
Thu 17:00 Wasserstein Weisfeiler-Lehman Graph Kernels
Matteo Togninalli · Elisabetta Ghisu · Felipe Llinares-Lopez · Bastian Rieck · Karsten Borgwardt
Poster
Thu 17:00 Coda: An End-to-End Neural Program Decompiler
Cheng Fu · Huili Chen · Haolan Liu · Xinyun Chen · Yuandong Tian · Farinaz Koushanfar · Jishen Zhao
Poster
Tue 10:45 Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses
Ulysse Marteau-Ferey · Francis Bach · Alessandro Rudi
Poster
Wed 17:00 Exponential Family Estimation via Adversarial Dynamics Embedding
Bo Dai · Zhen Liu · Hanjun Dai · Niao He · Arthur Gretton · Le Song · Dale Schuurmans
Poster
Tue 10:45 On Fenchel Mini-Max Learning
Chenyang Tao · Liqun Chen · Shuyang Dai · Junya Chen · Ke Bai · Dong Wang · Jianfeng Feng · Wenlian Lu · Georgiy Bobashev · Lawrence Carin
Poster
Thu 10:45 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Zhihui Zhu · Tianyu Ding · Daniel Robinson · Manolis Tsakiris · René Vidal
Poster
Thu 10:45 Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Qiyang Li · Saminul Haque · Cem Anil · James Lucas · Roger Grosse · Joern-Henrik Jacobsen
Poster
Tue 17:30 Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model
Atilim Gunes Baydin · Lei Shao · Wahid Bhimji · Lukas Heinrich · Saeid Naderiparizi · Andreas Munk · Jialin Liu · Bradley Gram-Hansen · Gilles Louppe · Lawrence Meadows · Philip Torr · Victor Lee · Kyle Cranmer · Mr. Prabhat · Frank Wood