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ICML 2016 Tutorials
ICML 2016 Tutorials
TechTalks from event: ICML 2016 Tutorials
Tutorials
Causal inference for observational studies
Authors:
David Sontag and Uri Shalit (New York University)
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Memory Networks for Language Understanding
Authors:
Jason Weston (Facebook)
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Recent Advances in Non-Convex Optimization
Authors:
Anima Anandkumar (University of California Irvine)
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Deep Residual Networks: Deep Learning Gets Way Deeper
Authors:
Kaiming He, Facebook
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Stochastic Gradient
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Deep Reinforcement Learning
Authors:
David Silver (Google DeepMind)
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The convex optimization, game-theoretic approach to learning
Authors:
Elad Hazan (Princeton University) and Satyen Kale (Yahoo Research)
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Rigorous Data Dredging: Theory and Tools for Adaptive Data Analysis
Authors:
Moritz Hardt (Google) and Aaron Roth (University of Pennsylvania)
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Graph Sketching, Streaming, and Space-Efficient Optimization
Authors:
Sudipto Guha (University of Pennsylvania) and Andrew McGregor (University of Massachusetts Amherst)
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