Ilya O Tolstikhin
7 papers · 2013–2021 · 1 venue · across top CS/AI venues
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(4)
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representation learning
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pac-bayes theory
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mutual information
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probability distribution
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reproducing kernel hilbert space
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nonparametric estimation
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stochastic process
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maximum mean discrepancy
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probabilistic programming
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image classification
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nonparametric testing
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reproducing kernel
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rate of convergence
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kernel mean embedding
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statistical learning
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Papers
MLP-Mixer: An all-MLP Architecture for Vision
NeurIPS 2021
What Do Neural Networks Learn When Trained With Random Labels?
NeurIPS 2020
Practical and Consistent Estimation of f-Divergences
NeurIPS 2019
AdaGAN: Boosting Generative Models
NeurIPS 2017
Consistent Kernel Mean Estimation for Functions of Random Variables
NeurIPS 2016
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
NeurIPS 2016
PAC-Bayes-Empirical-Bernstein Inequality
NeurIPS 2013