heavy-tailed distribution

Explore, Refine, then Commit: Nearly Optimal Multi-Group Mean Estimation with Active Learning UAI 2026 Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space UAI 2026 Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss JMLR 2026 Cauchy Diffusion: A Heavy-tailed Denoising Diffusion Probabilistic Model for Speech Synthesis AAAI 2025 Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits AISTATS 2025 Heavy-Tailed Diffusion Models ICLR 2025 Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models ICLR 2025 How Do Large Language Monkeys Get Their Power (Laws)? ICML 2025 Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors JMLR 2025 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 Optimal and learned algorithms for the online list update problem with Zipfian accesses ALT 2025 Outlier Robust and Sparse Estimation of Linear Regression Coefficients JMLR 2025 Robust Estimation in metric spaces: Achieving Exponential Concentration with a Fréchet Median AISTATS 2025 Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means ICML 2025 Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024 Beyond Catoni: Sharper Rates for Heavy-Tailed and Robust Mean Estimation COLT 2024 Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 Concentration Inequalities for General Functions of Heavy-Tailed Random Variables ICML 2024 Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024 Emergence of heavy tails in homogenized stochastic gradient descent NeurIPS 2024 Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models NeurIPS 2024 High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails ICML 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NeurIPS 2024 On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control JMLR 2024