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108 Results
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Poster
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Tue 7:00 |
On Implicit Regularization in ββ-VAEs Abhishek Kumar · Ben Poole |
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Poster
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Wed 13:00 |
Continuous Time Bayesian Networks with Clocks Nicolai Engelmann · Dominik Linzner · Heinz Koeppl |
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Poster
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Thu 12:00 |
Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks Adeel Pervez · Taco Cohen · Efstratios Gavves |
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Poster
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Tue 13:00 |
Learning with Good Feature Representations in Bandits and in RL with a Generative Model Tor Lattimore · Csaba Szepesvari · Gellért Weisz |
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Poster
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Tue 13:00 |
Sequential Transfer in Reinforcement Learning with a Generative Model Andrea Tirinzoni · Riccardo Poiani · Marcello Restelli |
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Poster
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Tue 9:00 |
Variable Skipping for Autoregressive Range Density Estimation Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen |
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Poster
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Thu 8:00 |
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong · Bryan Seybold · Kevin Murphy · Hung Bui |
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Poster
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Thu 15:00 |
Reliable Fidelity and Diversity Metrics for Generative Models Muhammad Ferjad Naeem · Seong Joon Oh · Yunjey Choi · Youngjung Uh · Jaejun Yoo |
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Poster
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Tue 7:00 |
Generative Flows with Matrix Exponential Changyi Xiao · Ligang Liu |
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Poster
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Wed 11:00 |
Deep Gaussian Markov Random Fields Per Sidén · Fredrik Lindsten |
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Poster
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Tue 18:00 |
Intrinsic Reward Driven Imitation Learning via Generative Model Xingrui Yu · Yueming LYU · Ivor Tsang |
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Poster
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Thu 7:00 |
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov · Polina Kirichenko · Marc Finzi · Andrew Wilson |