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30 Results
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Poster
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Tue 9:00 |
STCN: Stochastic Temporal Convolutional Networks Emre Aksan · Otmar Hilliges |
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Poster
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Wed 9:00 |
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing · Theophane Weber · Yori Zwols · Nicolas Heess · Sebastien Racaniere · Arthur Guez · Jean-Baptiste Lespiau |
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Poster
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Wed 9:00 |
Meta-Learning Probabilistic Inference for Prediction Jonathan Gordon · John Bronskill · Matthias Bauer · Sebastian Nowozin · Richard E Turner |
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Poster
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Thu 14:30 |
Variational Bayesian Phylogenetic Inference Cheng Zhang · Frederick A Matsen |
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Poster
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Wed 9:00 |
Information asymmetry in KL-regularized RL Alexandre Galashov · Siddhant Jayakumar · Leonard Hasenclever · Dhruva Tirumala · Jonathan Schwarz · Guillaume Desjardins · Wojciech M Czarnecki · Yee Whye Teh · Razvan Pascanu · Nicolas Heess |
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Poster
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Thu 14:30 |
FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS Shengyang Sun · Guodong Zhang · Jiaxin Shi · Roger Grosse |
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Poster
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Tue 9:00 |
Recall Traces: Backtracking Models for Efficient Reinforcement Learning Anirudh Goyal · Philemon Brakel · William Fedus · Soumye Singhal · Timothy Lillicrap · Sergey Levine · Hugo Larochelle · Yoshua Bengio |
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Poster
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Thu 14:30 |
Auxiliary Variational MCMC Raza Habib · David Barber |
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Poster
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Wed 14:30 |
From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference Randall Balestriero · Richard Baraniuk |
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Poster
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Wed 14:30 |
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking Haichuan Yang · Yuhao Zhu · Ji Liu |
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Poster
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Thu 14:30 |
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau · Stig Petersen · Ashish Agarwal · David Barrett · Kimberly Stachenfeld |
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Oral
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Wed 8:15 |
Deterministic Variational Inference for Robust Bayesian Neural Networks Anqi Wu · Sebastian Nowozin · Ted Meeds · Richard E Turner · José Miguel Hernández Lobato · Alexander Gaunt |