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Oral
Tue 11:45 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo
Matthew Hoffman · Alexey Radul · Pavel Sountsov
Poster
Tue 14:00 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
Sreejith Sreekumar · Zhengxin Zhang · Ziv Goldfeld
Poster
Tue 14:00 Competing AI: How does competition feedback affect machine learning?
Tony Ginart · Eva Zhang · Yongchan Kwon · James Zou
Poster
Tue 14:00 Influence Decompositions For Neural Network Attribution
Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Tue 14:00 Detection and Defense of Topological Adversarial Attacks on Graphs
Yingxue Zhang · Florence Regol · Soumyasundar Pal · Sakif Khan · Liheng Ma · Mark Coates
Poster
Tue 14:00 Alternating Direction Method of Multipliers for Quantization
Tianjian Huang · Prajwal Singhania · Maziar Sanjabi · Pabitra Mitra · Meisam Razaviyayn
Poster
Tue 14:00 Principal Subspace Estimation Under Information Diffusion
Fan Zhou · Ping Li · Zhixin Zhou
Poster
Tue 18:30 The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
Tomohiro Hayase · Ryo Karakida
Poster
Tue 18:30 Understanding Gradient Clipping In Incremental Gradient Methods
Jiang Qian · Yuren Wu · Bojin Zhuang · Shaojun Wang · Jing Xiao
Poster
Tue 18:30 Causal Modeling with Stochastic Confounders
Thanh Vinh Vo · Pengfei Wei · Wicher Bergsma · Tze Yun Leong
Poster
Tue 18:30 One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
Hanjing Zhu · Jiaming Xu
Poster
Wed 6:00 Predictive Complexity Priors
Eric Nalisnick · Jonathan Gordon · Jose Miguel Hernandez-Lobato