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31 Results
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Poster
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Tue 7:45 |
On gradient regularizers for MMD GANs Michael Arbel · Danica J. Sutherland · Mikołaj Bińkowski · Arthur Gretton |
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Poster
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Thu 7:45 |
Causal Inference via Kernel Deviance Measures Jovana Mitrovic · Dino Sejdinovic · Yee Whye Teh |
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Poster
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Thu 7:45 |
Quadrature-based features for kernel approximation Marina Munkhoeva · Yermek Kapushev · Evgeny Burnaev · Ivan Oseledets |
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Poster
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Thu 7:45 |
Relating Leverage Scores and Density using Regularized Christoffel Functions Edouard Pauwels · Francis Bach · Jean-Philippe Vert |
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Poster
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Thu 7:45 |
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds David Reeb · Andreas Doerr · Sebastian Gerwinn · Barbara Rakitsch |
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Poster
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Wed 7:45 |
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities Yunwen Lei · Ke Tang |
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Poster
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Tue 14:00 |
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot-Guillarmod · Clement Hongler · Franck Gabriel |
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Poster
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Thu 7:45 |
Learning and Inference in Hilbert Space with Quantum Graphical Models Siddarth Srinivasan · Carlton Downey · Byron Boots |
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Poster
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Thu 14:00 |
Derivative Estimation in Random Design Yu Liu · Kris De Brabanter |
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Poster
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Wed 7:45 |
Balanced Policy Evaluation and Learning Nathan Kallus |
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Poster
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Thu 14:00 |
Statistical Optimality of Stochastic Gradient Descent on Hard Learning Problems through Multiple Passes Loucas Pillaud-Vivien · Alessandro Rudi · Francis Bach |
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Poster
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Tue 14:00 |
Inferring Latent Velocities from Weather Radar Data using Gaussian Processes Rico Angell · Daniel Sheldon |