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Tutorial
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Mon 1:00 |
Machine Learning with Signal Processing Arno Solin |
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Poster
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Tue 8:00 |
Nonparametric Score Estimators Yuhao Zhou, Jiaxin Shi, Jun Zhu |
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Poster
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Tue 9:00 |
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features Liang Ding, Rui Tuo, Shahin Shahrampour |
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Poster
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Tue 9:00 |
Disentangling Trainability and Generalization in Deep Neural Networks Lechao Xiao, Jeffrey Pennington, Samuel Schoenholz |
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Poster
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Tue 10:00 |
Structured Prediction with Partial Labelling through the Infimum Loss Vivien Cabannnes, Alessandro Rudi, Francis Bach |
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Poster
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Tue 10:00 |
Harmonic Decompositions of Convolutional Networks Meyer Scetbon, Zaid Harchaoui |
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Poster
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Tue 11:00 |
Kernel Methods for Cooperative Multi-Agent Contextual Bandits Abhimanyu Dubey, Alex `Sandy' Pentland |
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Poster
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Tue 11:00 |
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, D.J. Sutherland |
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Poster
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Tue 13:00 |
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses Pierre Laforgue, Alex Lambert, Luc Brogat-Motte, Florence d'Alche-Buc |
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Poster
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Tue 14:00 |
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling David Woodruff, Amir Zandieh |
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Poster
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Tue 18:00 |
Learning to Learn Kernels with Variational Random Features Xiantong Zhen, Haoliang Sun, Yingjun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek |
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Poster
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Wed 5:00 |
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy Jiaoyang Huang, Horng-Tzer Yau |
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Poster
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Wed 8:00 |
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix Insu Han, Haim Avron, Jinwoo Shin |
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Poster
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Wed 8:00 |
Randomly Projected Additive Gaussian Processes for Regression Ian Delbridge, dbindel S Bindel, Andrew Wilson |
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Poster
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Wed 10:00 |
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health Liangyu Zhu, Wenbin Lu, Rui Song |
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Poster
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Wed 11:00 |
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime Stéphane d'Ascoli, Maria Refinetti, Giulio Biroli, Florent Krzakala |
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Poster
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Wed 12:00 |
Implicit Regularization of Random Feature Models Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clement Hongler, Franck Gabriel |
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Poster
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Wed 16:00 |
Non-separable Non-stationary random fields Kangrui Wang, Ollie Hamelijnck, Theo Damoulas, Mark Steel |
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Poster
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Thu 6:00 |
Graph Homomorphism Convolution Hoang NT, Takanori Maehara |
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Poster
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Thu 6:00 |
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang |
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Poster
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Thu 6:00 |
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks Blake Bordelon, Abdul Canatar, Cengiz Pehlevan |
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Poster
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Thu 6:00 |
Estimation of Bounds on Potential Outcomes For Decision Making Maggie Makar, Fredrik Johansson, John Guttag, David Sontag |
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Poster
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Thu 6:00 |
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data Tamara Fernandez, Arthur Gretton, Nicolas Rivera, Wenkai Xu |
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Poster
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Thu 12:00 |
Neural Kernels Without Tangents Vaishaal Shankar, Alex Fang, Wenshuo Guo, Sara Fridovich-Keil, Jonathan Ragan-Kelley, Ludwig Schmidt, Benjamin Recht |
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Poster
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Thu 12:00 |
Online Multi-Kernel Learning with Graph-Structured Feedback Pouya M Ghari, Yanning Shen |
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Poster
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Thu 13:00 |
Kernel interpolation with continuous volume sampling Ayoub Belhadji, Rémi Bardenet, Pierre Chainais |
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Poster
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Thu 13:00 |
Convolutional Kernel Networks for Graph-Structured Data Dexiong Chen, Laurent Jacob, Julien Mairal |
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Workshop
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Sat 6:25 |
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes Joachim Schreurs, Michaël Fanuel, Johan Suykens |
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Workshop
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Sat 9:30 |
Poster session |