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Oral
Tue 12:15 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding · Constantinos Daskalakis · Soheil Feizi
Poster
Tue 14:00 Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs
Alden Green · Sivaraman Balakrishnan · Ryan Tibshirani
Poster
Tue 14:00 Differentiable Causal Discovery Under Unmeasured Confounding
Rohit Bhattacharya · Tushar Nagarajan · Daniel Malinsky · Ilya Shpitser
Poster
Tue 14:00 Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
Jiaxuan Wang · Jenna Wiens · Scott Lundberg
Poster
Tue 14:00 Matérn Gaussian Processes on Graphs
Viacheslav Borovitskiy · Iskander Azangulov · Alexander Terenin · Peter Mostowsky · Marc Deisenroth · Nicolas Durrande
Poster
Tue 14:00 Sketch based Memory for Neural Networks
Rina Panigrahy · Xin Wang · Manzil Zaheer
Poster
Tue 18:30 Flow-based Alignment Approaches for Probability Measures in Different Spaces
Tam Le · Nhat Ho · Makoto Yamada
Poster
Tue 18:30 GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
Mucong Ding · Constantinos Daskalakis · Soheil Feizi
Poster
Tue 18:30 Graph Gamma Process Linear Dynamical Systems
Rahi Kalantari · Mingyuan Zhou
Poster
Tue 18:30 Learning Shared Subgraphs in Ising Model Pairs
Burak Varici · Saurabh Sihag · Ali Tajer
Poster
Tue 18:30 Minimal enumeration of all possible total effects in a Markov equivalence class
Richard Guo · Emilija Perkovic
Poster
Tue 18:30 Entropy Partial Transport with Tree Metrics: Theory and Practice
Tam Le · Truyen Nguyen