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152 Results
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Poster
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Wed 18:30 |
Local Aggregative Games Vikas Garg · Tommi Jaakkola |
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Workshop
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Sat 11:30 |
Model-Agnostic Meta-Learning: Universality, Inductive Bias, and Weak Supervision Chelsea Finn |
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Poster
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Wed 18:30 |
Learning Chordal Markov Networks via Branch and Bound Kari Rantanen · Antti Hyttinen · Matti Järvisalo |
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Poster
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Mon 18:30 |
Phase Transitions in the Pooled Data Problem Jonathan Scarlett · Volkan Cevher |
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Poster
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Wed 18:30 |
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami · Saber Salehkaleybar · Negar Kiyavash · Kun Zhang |
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Poster
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Mon 18:30 |
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal · Jean Honorio |
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Poster
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Mon 18:30 |
Bayesian Dyadic Trees and Histograms for Regression Stéphanie van der Pas · Veronika Rockova |
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Poster
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Wed 18:30 |
Variance-based Regularization with Convex Objectives Hongseok Namkoong · John Duchi |
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Poster
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Mon 18:30 |
Scalable Model Selection for Belief Networks Zhao Song · Yusuke Muraoka · Ryohei Fujimaki · Lawrence Carin |
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Poster
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Mon 18:30 |
Context Selection for Embedding Models Liping Liu · Francisco Ruiz · Susan Athey · David Blei |
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Poster
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Mon 18:30 |
Model-Powered Conditional Independence Test Rajat Sen · Ananda Theertha Suresh · Karthikeyan Shanmugam · Alex Dimakis · Sanjay Shakkottai |
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Poster
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Tue 18:30 |
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs Rowan McAllister · Carl Edward Rasmussen |