generalized linear model

Beyond L1: Faster and Better Sparse Models with skglm NeurIPS 2022 Communication Efficient Federated Learning for Generalized Linear Bandits NeurIPS 2022 Differentially Private Generalized Linear Models Revisited NeurIPS 2022 Easy Variational Inference for Categorical Models via an Independent Binary Approximation ICML 2022 Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022 Fair Generalized Linear Models with a Convex Penalty ICML 2022 Fast Sparse Classification for Generalized Linear and Additive Models AISTATS 2022 Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022 Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 2022 Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022 Maximum sampled conditional likelihood for informative subsampling JMLR 2022 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 2022 SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums AISTATS 2022 The role of optimization geometry in single neuron learning AISTATS 2022 Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization NeurIPS 2022 Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022 Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NeurIPS 2022 Understanding the Eluder Dimension NeurIPS 2022 A Generalised Linear Model Framework for β-Variational Autoencoders based on Exponential Dispersion Families JMLR 2021 Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021 Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021 Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021 Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021 Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021