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Poster
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Thu 7:00
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Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Soham Dan · Bhaswar B. Bhattacharya
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Poster
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Tue 7:00
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Customizing ML Predictions for Online Algorithms
Keerti Anand · Rong Ge · Debmalya Panigrahi
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Poster
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Wed 5:00
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Learning Opinions in Social Networks
Vincent Conitzer · Debmalya Panigrahi · Hanrui Zhang
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Poster
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Tue 7:00
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Reverse-engineering deep ReLU networks
David Rolnick · Konrad Kording
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Poster
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Tue 11:00
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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 12:00
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Towards a General Theory of Infinite-Width Limits of Neural Classifiers
Eugene Golikov
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Poster
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Wed 8:00
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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
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Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Brian Zhang · Tuomas Sandholm
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Poster
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Thu 6:00
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Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
Chen Dan · Yuting Wei · Pradeep Ravikumar
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Poster
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Wed 5:00
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The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization
Ben Adlam · Jeffrey Pennington
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Poster
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Tue 7:00
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On the Noisy Gradient Descent that Generalizes as SGD
Jingfeng Wu · Wenqing Hu · Haoyi Xiong · Jun Huan · Vladimir Braverman · Zhanxing Zhu
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Poster
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Tue 11:00
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Information-Theoretic Local Minima Characterization and Regularization
Zhiwei Jia · Hao Su
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