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Tue Jun 11, 2019

Time Pacific Ballroom
06:30 PM (Posters)
Online Meta-Learning Pacific Ballroom #5
Self-Attention Graph Pooling Pacific Ballroom #8
Graph U-Nets Pacific Ballroom #25
Area Attention Pacific Ballroom #27
The Evolved Transformer Pacific Ballroom #28
Stochastic Deep Networks Pacific Ballroom #30
Differentiable Linearized ADMM Pacific Ballroom #52
Scalable Fair Clustering Pacific Ballroom #84
Neural Logic Reinforcement Learning Pacific Ballroom #104
Learning from a Learner Pacific Ballroom #110
Per-Decision Option Discounting Pacific Ballroom #114
Metric-Optimized Example Weights Pacific Ballroom #122
Contextual Memory Trees Pacific Ballroom #125
Shape Constraints for Set Functions Pacific Ballroom #127
Learning Optimal Linear Regularizers Pacific Ballroom #134
Learning to Clear the Market Pacific Ballroom #156
Neural Joint Source-Channel Coding Pacific Ballroom #165
Homomorphic Sensing Pacific Ballroom #167
Teaching a black-box learner Pacific Ballroom #183
Online learning with kernel losses Pacific Ballroom #185
Blended Conditonal Gradients Pacific Ballroom #191
SAGA with Arbitrary Sampling Pacific Ballroom #199
Amortized Monte Carlo Integration Pacific Ballroom #215
Stein Point Markov Chain Monte Carlo Pacific Ballroom #216
Particle Flow Bayes' Rule Pacific Ballroom #218
Correlated Variational Auto-Encoders Pacific Ballroom #219
Neurally-Guided Structure Inference Pacific Ballroom #233
Deep Factors for Forecasting Pacific Ballroom #254
Generalized Linear Rule Models Pacific Ballroom #264