dependent data

Generalization Bounds for Dependent Data using Online-to-Batch Conversion. AISTATS 2025 Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples ICML 2024 Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data ICML 2024 Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss ICML 2024 Over-parameterized Deep Nonparametric Regression for Dependent Data with Its Applications to Reinforcement Learning JMLR 2023 The noise level in linear regression with dependent data NeurIPS 2023 Training Normalizing Flows from Dependent Data ICML 2023 Data sampling affects the complexity of online SGD over dependent data UAI 2022 Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability AAAI 2022 Statistical Estimation from Dependent Data ICML 2021 Learning from Weakly Dependent Data under Dobrushin’s Condition COLT 2019 Exact and Robust Conformal Inference Methods for Predictive Machine Learning with Dependent Data COLT 2018 Identification and Estimation of Causal Effects from Dependent Data NeurIPS 2018 Principal Component Analysis on non-Gaussian Dependent Data ICML 2013 Locating Changes in Highly Dependent Data with Unknown Number of Change Points NeurIPS 2012 Reducing statistical time-series problems to binary classification NeurIPS 2012