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Poster
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Tue 18:30
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Online Learning with Transductive Regret
Scott Yang · Mehryar Mohri
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Poster
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Wed 18:30
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Collaborative PAC Learning
Avrim Blum · Nika Haghtalab · Ariel Procaccia · Mingda Qiao
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Poster
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Wed 18:30
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On Structured Prediction Theory with Calibrated Convex Surrogate Losses
Anton Osokin · Francis Bach · Simon Lacoste-Julien
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Poster
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Mon 18:30
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Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions
Maria-Florina Balcan · Hongyang Zhang
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Poster
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Mon 18:30
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Resurrecting the sigmoid in deep learning through dynamical isometry: theory and practice
Jeffrey Pennington · Samuel Schoenholz · Surya Ganguli
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Poster
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Wed 18:30
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Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton · Frederic Koehler · Ankur Moitra
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Poster
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Wed 18:30
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Online Convex Optimization with Stochastic Constraints
Hao Yu · Michael Neely · Xiaohan Wei
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Poster
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Mon 18:30
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Phase Transitions in the Pooled Data Problem
Jonathan Scarlett · Volkan Cevher
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Poster
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Mon 18:30
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The Expressive Power of Neural Networks: A View from the Width
Zhou Lu · Hongming Pu · Feicheng Wang · Zhiqiang Hu · Liwei Wang
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Poster
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Mon 18:30
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From which world is your graph
Cheng Li · Felix MF Wong · Zhenming Liu · Varun Kanade
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Poster
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Mon 18:30
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A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent
Ben London
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Poster
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Mon 18:30
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Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity
Asish Ghoshal · Jean Honorio
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