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176 Results
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Poster
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Tue 17:30 |
Learning Hierarchical Priors in VAEs Alexej Klushyn · Nutan Chen · Richard Kurle · Botond Cseke · Patrick van der Smagt |
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Poster
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Tue 17:30 |
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems Robert Ness · Kaushal Paneri · Olga Vitek |
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Poster
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Wed 17:00 |
Multi-resolution Multi-task Gaussian Processes Oliver Hamelijnck · Theodoros Damoulas · Kangrui Wang · Mark Girolami |
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Poster
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Thu 10:45 |
Practical Two-Step Lookahead Bayesian Optimization Jian Wu · Peter Frazier |
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Poster
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Tue 17:30 |
Practical Deep Learning with Bayesian Principles Kazuki Osawa · Siddharth Swaroop · Mohammad Emtiyaz Khan · Anirudh Jain · Runa Eschenhagen · Richard Turner · Rio Yokota |
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Poster
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Tue 17:30 |
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up Dominic Richards · Patrick Rebeschini |
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Poster
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Thu 10:45 |
Efficiently avoiding saddle points with zero order methods: No gradients required Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Georgios Piliouras |
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Poster
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Thu 17:00 |
Globally Optimal Learning for Structured Elliptical Losses Yoav Wald · Nofar Noy · Gal Elidan · Ami Wiesel |
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Spotlight
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Wed 10:25 |
Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay Frederic Koehler |
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Poster
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Tue 17:30 |
Poisson-Randomized Gamma Dynamical Systems Aaron Schein · Scott Linderman · Mingyuan Zhou · David Blei · Hanna Wallach |
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Poster
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Tue 17:30 |
Statistical Model Aggregation via Parameter Matching Mikhail Yurochkin · Mayank Agarwal · Soumya Ghosh · Kristjan Greenewald · Nghia Hoang |
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Poster
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Tue 17:30 |
Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs Yusuke Tanaka · Toshiyuki Tanaka · Tomoharu Iwata · Takeshi Kurashima · Maya Okawa · Yasunori Akagi · Hiroyuki Toda |