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926 Results
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Tutorial
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Mon 10:45 |
Deep Probabilistic Modelling with Gaussian Processes Neil D Lawrence |
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Tutorial
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Mon 8:00 |
A Primer on Optimal Transport Marco Cuturi · Justin Solomon |
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Tutorial
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Mon 8:00 |
Reinforcement Learning with People Emma Brunskill |
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Tutorial
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Mon 14:30 |
Geometric Deep Learning on Graphs and Manifolds Michael Bronstein · Joan Bruna · arthur szlam · Xavier Bresson · Yann LeCun |
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Tutorial
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Mon 10:45 |
Fairness in Machine Learning Solon Barocas · Moritz Hardt |
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Tutorial
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Mon 14:30 |
Engineering and Reverse-Engineering Intelligence Using Probabilistic Programs, Program Induction, and Deep Learning Josh Tenenbaum · Vikash Mansinghka |
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Tutorial
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Mon 14:30 |
Differentially Private Machine Learning: Theory, Algorithms and Applications Kamalika Chaudhuri · Anand D Sarwate |
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Tutorial
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Mon 8:00 |
Deep Learning: Practice and Trends Nando de Freitas · Scott Reed · Oriol Vinyals |
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Tutorial
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Mon 10:45 |
Statistical Relational Artificial Intelligence: Logic, Probability and Computation Luc De Raedt · David Poole · Kristian Kersting · Sriraam Natarajan |
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Talk
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Mon 17:00 |
Opening Remarks |
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Poster
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Mon 18:30 |
Learning with Feature Evolvable Streams Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou |
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Spotlight
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Tue 17:10 |
Regret Analysis for Continuous Dueling Bandit Wataru Kumagai |