generalized linear model

Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits ICLR 2024 Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023 Bayesian Variable Selection in a Million Dimensions AISTATS 2023 Combinatorial Causal Bandits AAAI 2023 Combinatorial Pure Exploration of Causal Bandits ICLR 2023 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023 Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 2023 Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023 Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023 Dropout Training is Distributionally Robust Optimal JMLR 2023 Faster Rates of Convergence to Stationary Points in Differentially Private Optimization ICML 2023 Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 High-Dimensional Inference for Generalized Linear Models with Hidden Confounding JMLR 2023 Likelihood Ratio Confidence Sets for Sequential Decision Making NeurIPS 2023 Mitigating Transformer Overconfidence via Lipschitz Regularization UAI 2023 Mixed Regression via Approximate Message Passing JMLR 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023 Regression with Label Permutation in Generalized Linear Model ICML 2023 Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023 Universality laws for Gaussian mixtures in generalized linear models NeurIPS 2023 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models NeurIPS 2022