conftrace_

generalized linear model

138 papers

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Also known as

GLM

Co-occurring keywords

bayesian inference (1907) regret bound (1926) maximum likelihood estimation (233) logistic regression (386) high-dimensional statistics (145) maximum likelihood (255) approximate message passing (39) online learning (1777) variable selection (146) differential privacy (1016)

Papers

Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Corruption-Tolerant Algorithms for Generalized Linear Models AAAI 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
Mixed Regression via Approximate Message Passing JMLR 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits AAAI 2023
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions COLT 2023
Universality laws for Gaussian mixtures in generalized linear models NIPS 2023
Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models AISTATS 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
Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays JMLR 2022
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums AISTATS 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation ICML 2022
Understanding the Eluder Dimension NIPS 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022
Communication Efficient Federated Learning for Generalized Linear Bandits NIPS 2022
Fair Generalized Linear Models with a Convex Penalty ICML 2022
Fixed-Budget Best-Arm Identification in Structured Bandits IJCAI 2022
Beyond L1: Faster and Better Sparse Models with skglm NIPS 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension ICML 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 NIPS 2022
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NIPS 2022