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Search All 2021 Events
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Algorithms
Algorithms; Algorithms
Algorithms -> Bandit Algorithms; Reinforcement Learning and Planning
Algorithms -> Bandit Algorithms; Theory
Algorithms -> Classification; Algorithms -> Meta-Learning; Applications
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Algorithms -> Classification; Deep Learning -> CNN Architectures; Reinforcement Learning and Planning
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Algorithms -> Regression; Algorithms -> Uncertainty Estimation; Probabilistic Methods; Probabilistic Methods
Algorithms -> Regression; Optimization -> Convex Optimization; Theory -> Learning Theory; Theory
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Algorithms -> Representation Learning; Applications -> Computer Vision; Applications
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21 Results
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Poster
Tue 14:00
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples
Yixing Zhang · Xiuyuan Cheng · Galen Reeves
Poster
Wed 6:00
Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu · Minghe Zhang · Ruyi Ding · Yao Xie
Poster
Tue 14:00
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh · Truyen Nguyen
Poster
Tue 14:00
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
Fergus Simpson · Alexis Boukouvalas · Vaclav Cadek · Elvijs Sarkans · Nicolas Durrande
Poster
Thu 7:30
A Spectral Analysis of Dot-product Kernels
Meyer Scetbon · Zaid Harchaoui
Poster
Tue 14:00
Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
Yifan Chen · Yun Yang
Poster
Wed 6:00
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
Jia-Jie Zhu · Wittawat Jitkrittum · Moritz Diehl · Bernhard Schölkopf
Poster
Wed 6:00
Regularized ERM on random subspaces
Andrea Della Vecchia · Jaouad Mourtada · Ernesto De Vito · Lorenzo Rosasco
Poster
Thu 7:30
Stochastic Gradient Descent Meets Distribution Regression
Nicole Mücke
Poster
Wed 12:45
Kernel Interpolation for Scalable Online Gaussian Processes
Samuel Stanton · Wesley Maddox · Ian Delbridge · Andrew Gordon Wilson
Poster
Tue 14:00
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
Yifan Chen · Yun Yang
Poster
Tue 18:30
Gradient Descent in RKHS with Importance Labeling
Tomoya Murata · Taiji Suzuki
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