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Poster
Wed 9:00 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
Aude Sportisse · Claire Boyer · Julie Josse
Poster
Thu 9:00 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner
Poster
Wed 21:00 Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation
Jianyuan Wang · Yiran Zhong · Yuchao Dai · Kaihao Zhang · Pan Ji · Hongdong Li
Poster
Mon 21:00 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach
Luofeng Liao · You-Lin Chen · Zhuoran Yang · Bo Dai · Mladen Kolar · Zhaoran Wang
Poster
Wed 9:00 Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri