conftrace_

chi-square divergence

11 papers

Explore in graph

Co-occurring keywords · papers mentioning both

chi-squared divergence (3) conditional value at risk (2) distributional shift (2) gradient flow (2) distributionally robust optimization (2) sample complexity (2) robust predictor (1) multilevel monte carlo (1) wasserstein gradient (1) data collection (1)

Papers

Learning from Biased and Costly Data Sources: Minimax-optimal Data Collection under a Budget (extended abstract) COLT 2026 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 2025 A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers NeurIPS 2024 Forward χ^2 Divergence Based Variational Importance Sampling ICLR 2024 Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024 Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise NeurIPS 2024 Sample Complexity for Distributionally Robust Learning under chi-square divergence JMLR 2023 Sampling with Mollified Interaction Energy Descent ICLR 2023 Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 Chi-square Generative Adversarial Network ICML 2018