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Poster
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Tue 17:30
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Universal Boosting Variational Inference
Trevor Campbell · Xinglong Li
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Poster
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Tue 17:30
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Variational Bayesian Decision-making for Continuous Utilities
Tomasz Kuśmierczyk · Joseph Sakaya · Arto Klami
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Poster
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Wed 10:45
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Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees
Alix LHERITIER · Frederic Cazals
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Poster
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Wed 10:45
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Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay
Frederic Koehler
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Poster
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Tue 10:45
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Kernel Instrumental Variable Regression
Rahul Singh · Maneesh Sahani · Arthur Gretton
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Poster
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Wed 10:45
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A Latent Variational Framework for Stochastic Optimization
Philippe Casgrain
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Poster
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Tue 10:45
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Globally optimal score-based learning of directed acyclic graphs in high-dimensions
Bryon Aragam · Arash Amini · Qing Zhou
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Poster
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Tue 17:30
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Robust Multi-agent Counterfactual Prediction
Alexander Peysakhovich · Christian Kroer · Adam Lerer
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Poster
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Wed 10:45
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Bayesian Joint Estimation of Multiple Graphical Models
Lingrui Gan · Xinming Yang · Naveen Narisetty · Feng Liang
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Workshop
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Sat 8:40
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Jan-Willem van de Meent - Compositional Methods for Learning and Inference in Deep Probabilistic Programs
Jan-Willem van de Meent
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Poster
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Tue 17:30
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Identifying Causal Effects via Context-specific Independence Relations
Santtu Tikka · Antti Hyttinen · Juha Karvanen
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Poster
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Wed 17:00
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Provable Gradient Variance Guarantees for Black-Box Variational Inference
Justin Domke
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