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chi-squared divergence

8 papers

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Co-occurring keywords

chi-square divergence (8) gradient flow (142) optimal transport (948) heavy-tailed sampling (2) proximal sampler (3) stable oracle (1) high-accuracy guarantee (1) stein variational gradient descent (49) sampling algorithm (130) logarithmic sobolev constant (1)

Papers

(De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NIPS 2024
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NIPS 2024
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions NIPS 2023
Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022
Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021
DORO: Distributional and Outlier Robust Optimization ICML 2021
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NIPS 2020