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298 Results
Poster
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Thu 7:00 |
Generalization via Derandomization Jeffrey Negrea · Gintare Karolina Dziugaite · Daniel Roy |
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Poster
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Thu 6:00 |
Learning the Valuations of a -demand Agent Hanrui Zhang · Vincent Conitzer |
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Workshop
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Fri 6:05 |
Invited Talk: Christoph H. Lampert "Learning Theory for Continual and Meta-Learning" Christoph H. Lampert |
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Poster
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Thu 9:00 |
A Distributional Framework For Data Valuation Amirata Ghorbani · Michael Kim · James Zou |
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Poster
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Thu 7:00 |
Goodness-of-Fit Tests for Inhomogeneous Random Graphs Soham Dan · Bhaswar B. Bhattacharya |
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Poster
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Wed 5:00 |
Learning Opinions in Social Networks Vincent Conitzer · Debmalya Panigrahi · Hanrui Zhang |
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Poster
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Tue 11:00 |
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang · Yaodong Yu · Chong You · Jacob Steinhardt · Yi Ma |
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Poster
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Wed 8:00 |
Black-box Certification and Learning under Adversarial Perturbations Hassan Ashtiani · Vinayak Pathak · Ruth Urner |
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Poster
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Thu 6:00 |
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification Chen Dan · Yuting Wei · Pradeep Ravikumar |
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Poster
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Wed 11:00 |
The Implicit and Explicit Regularization Effects of Dropout Colin Wei · Sham Kakade · Tengyu Ma |
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Poster
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Thu 6:00 |
Strategic Classification is Causal Modeling in Disguise John Miller · Smitha Milli · Moritz Hardt |
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Poster
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Tue 9:00 |
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization Sicheng Zhu · Xiao Zhang · David Evans |