sub-gaussian distribution

Two-way Node Popularity Model for Directed and Bipartite Networks JMLR 2026 Minimum Empirical Divergence for Sub-Gaussian Linear Bandits AISTATS 2025 Private Model Personalization Revisited ICML 2025 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Dimension-free Private Mean Estimation for Anisotropic Distributions NeurIPS 2024 Forced Exploration in Bandit Problems AAAI 2024 Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions ICLR 2024 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023 Entropic characterization of optimal rates for learning Gaussian mixtures COLT 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Approximate Top-m Arm Identification with Heterogeneous Reward Variances AISTATS 2022 Generalization Bounds via Convex Analysis COLT 2022 (Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping COLT 2022 Covariance-Aware Private Mean Estimation Without Private Covariance Estimation NeurIPS 2021 Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021 Estimation of Spectral Risk Measures AAAI 2021 Sparse sketches with small inversion bias COLT 2021 CoinPress: Practical Private Mean and Covariance Estimation NeurIPS 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions AAAI 2020 Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NeurIPS 2020 Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits NeurIPS 2020 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 A Universal Analysis of Large-Scale Regularized Least Squares Solutions NeurIPS 2017