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Poster
Tue 17:30 Random Projections with Asymmetric Quantization
Xiaoyun Li · Ping Li
Poster
Thu 10:45 Learning Nearest Neighbor Graphs from Noisy Distance Samples
Blake Mason · Ardhendu Tripathy · Robert Nowak
Poster
Wed 10:45 PIDForest: Anomaly Detection via Partial Identification
Parikshit Gopalan · Vatsal Sharan · Udi Wieder
Poster
Wed 17:00 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott · Stephan Zheng · Caiming Xiong · Richard Socher
Poster
Wed 17:00 Neural Diffusion Distance for Image Segmentation
Jian Sun · Zongben Xu
Poster
Tue 10:45 A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
Arun Jambulapati · Aaron Sidford · Kevin Tian
Poster
Tue 10:45 Landmark Ordinal Embedding
Nikhil Ghosh · Yuxin Chen · Yisong Yue
Poster
Thu 17:00 Concentration of risk measures: A Wasserstein distance approach
Sanjay P. Bhat · Prashanth L.A.
Poster
Thu 10:45 Learning from brains how to regularize machines
Zhe Li · Wieland Brendel · Edgar Walker · Erick Cobos · Taliah Muhammad · Jacob Reimer · Matthias Bethge · Fabian Sinz · Xaq Pitkow · Andreas Tolias
Poster
Tue 10:45 Space and Time Efficient Kernel Density Estimation in High Dimensions
Arturs Backurs · Piotr Indyk · Tal Wagner
Poster
Thu 17:00 Dimensionality reduction: theoretical perspective on practical measures
Yair Bartal · Ora N Fandina · Ofer Neiman
Poster
Thu 17:00 Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Nima Dehmamy · Albert-Laszlo Barabasi · Rose Yu