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chi-squared divergence

9 papers

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Co-occurring keywords · papers mentioning both

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

Papers

Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization ICLR 2025 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025 A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NeurIPS 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions NeurIPS 2023 Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022 DORO: Distributional and Outlier Robust Optimization ICML 2021 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021 SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020