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Poster
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Wed 18:30
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Nonlinear random matrix theory for deep learning
Jeffrey Pennington · Pratik Worah
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Poster
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Wed 18:30
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Approximation and Convergence Properties of Generative Adversarial Learning
Shuang Liu · Olivier Bousquet · Kamalika Chaudhuri
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Poster
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Mon 18:30
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SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
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Poster
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Mon 18:30
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The Importance of Communities for Learning to Influence
Eric Balkanski · Nicole Immorlica · Yaron Singer
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Poster
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Tue 18:30
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A Sample Complexity Measure with Applications to Learning Optimal Auctions
Vasilis Syrgkanis
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Poster
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Wed 18:30
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Discriminative State Space Models
Vitaly Kuznetsov · Mehryar Mohri
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Poster
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Wed 18:30
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Local Aggregative Games
Vikas Garg · Tommi Jaakkola
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Poster
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Tue 18:30
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Unbiased estimates for linear regression via volume sampling
Michal Derezinski · Manfred K. Warmuth
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Poster
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Mon 18:30
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Mean Field Residual Networks: On the Edge of Chaos
Ge Yang · Samuel Schoenholz
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Poster
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Mon 18:30
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Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces
Songbai Yan · Chicheng Zhang
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Poster
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Mon 18:30
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Selective Classification for Deep Neural Networks
Yonatan Geifman · Ran El-Yaniv
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Poster
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Wed 18:30
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Online Prediction with Selfish Experts
Tim Roughgarden · Okke Schrijvers
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