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192 Results
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Poster
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Tue 10:45 |
Sampling Networks and Aggregate Simulation for Online POMDP Planning Hao(Jackson) Cui · Roni Khardon |
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Poster
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Wed 17:00 |
On two ways to use determinantal point processes for Monte Carlo integration Guillaume Gautier · Rémi Bardenet · Michal Valko |
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Poster
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Thu 10:45 |
Learning Sparse Distributions using Iterative Hard Thresholding Jacky Zhang · Rajiv Khanna · Anastasios Kyrillidis · Sanmi Koyejo |
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Poster
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Thu 10:45 |
Max-value Entropy Search for Multi-Objective Bayesian Optimization Syrine Belakaria · Aryan Deshwal · Janardhan Rao Doppa |
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Poster
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Thu 10:45 |
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations Kevin Smith · Lingjie Mei · Shunyu Yao · Jiajun Wu · Elizabeth Spelke · Josh Tenenbaum · Tomer Ullman |
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Poster
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Tue 17:30 |
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin YU · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Zhongxiang Dai |
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Poster
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Tue 17:30 |
Variational Bayesian Optimal Experimental Design Adam Foster · Martin Jankowiak · Elias Bingham · Paul Horsfall · Yee Whye Teh · Thomas Rainforth · Noah Goodman |
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Poster
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Wed 10:45 |
Perceiving the arrow of time in autoregressive motion Kristof Meding · Dominik Janzing · Bernhard Schölkopf · Felix A. Wichmann |
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Poster
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Wed 17:00 |
No-Regret Learning in Unknown Games with Correlated Payoffs Pier Giuseppe Sessa · Ilija Bogunovic · Maryam Kamgarpour · Andreas Krause |
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Poster
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Wed 17:00 |
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions Peng Chen · Keyi Wu · Joshua Chen · Tom O'Leary-Roseberry · Omar Ghattas |
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Poster
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Wed 10:45 |
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation Viet Anh Nguyen · Soroosh Shafieezadeh Abadeh · Man-Chung Yue · Daniel Kuhn · Wolfram Wiesemann |
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Poster
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Tue 17:30 |
Online sampling from log-concave distributions Holden Lee · Oren Mangoubi · Nisheeth Vishnoi |