central limit theorem

Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Models JMLR 2026 Central Limit Theorems for Asynchronous Averaged Q-Learning L4DC 2026 Beyond Sin-Squared Error: Linear Time Entrywise Uncertainty Quantification for Streaming PCA UAI 2025 Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints ICML 2025 Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications AISTATS 2024 Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024 Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case JMLR 2024 Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking NeurIPS 2024 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains ICML 2023 Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms COLT 2023 Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution JMLR 2022 A Central Limit Theorem for Differentially Private Query Answering NeurIPS 2021 Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings JMLR 2021 Non-asymptotic approximations of neural networks by Gaussian processes COLT 2021 A Dynamical Central Limit Theorem for Shallow Neural Networks NeurIPS 2020 Asymptotic Analysis via Stochastic Differential Equations of Gradient Descent Algorithms in Statistical and Computational Paradigms JMLR 2020 On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 Benefits and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA ICML 2019 Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem NeurIPS 2019 On the Distribution of Lexical Features at Multiple Levels of Analysis ACL 2017 Consistency and Fluctuations For Stochastic Gradient Langevin Dynamics JMLR 2016 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NeurIPS 2016 Central Limit Theorems for Conditional Markov Chains AISTATS 2013