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Poster
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Wed 18:30
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Zap Q-Learning
Adithya M Devraj · Sean Meyn
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Poster
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Mon 18:30
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Variable Importance Using Decision Trees
Jalil Kazemitabar · Arash Amini · Adam Bloniarz · Ameet S Talwalkar
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Poster
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Wed 18:30
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On the Consistency of Quick Shift
Heinrich Jiang
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Poster
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Tue 18:30
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Independence clustering (without a matrix)
Daniil Ryabko
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Poster
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Tue 18:30
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Information-theoretic analysis of generalization capability of learning algorithms
Aolin Xu · Maxim Raginsky
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Poster
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Tue 18:30
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On Frank-Wolfe and Equilibrium Computation
Jacob D Abernethy · Jun-Kun Wang
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Poster
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Tue 18:30
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Learning Populations of Parameters
Kevin Tian · Weihao Kong · Gregory Valiant
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Poster
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Tue 18:30
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Linear regression without correspondence
Daniel Hsu · Kevin Shi · Xiaorui Sun
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Tutorial
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Mon 14:30
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Differentially Private Machine Learning: Theory, Algorithms and Applications
Kamalika Chaudhuri · Anand D Sarwate
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Poster
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Tue 18:30
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Welfare Guarantees from Data
Darrell Hoy · Denis Nekipelov · Vasilis Syrgkanis
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Spotlight
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Thu 12:05
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Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
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Workshop
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Fri 10:00
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Learning theory and algorithms for shapelets and other local features. Daiki Suehiro, Kohei Hatano, Eiji Takimoto, Shuji Yamamoto, Kenichi Bannai and Akiko Takeda.
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