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

Fair Generalized Linear Models with a Convex Penalty ICML 2022
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing ICML 2022
Fast Sparse Classification for Generalized Linear and Additive Models AISTATS 2022
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022
Reconsidering Annotator Disagreement about Racist Language: Noise or Signal? NAACL 2021
Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach JMLR 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
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
Taming heavy-tailed features by shrinkage AISTATS 2021
Improving predictions of Bayesian neural nets via local linearization AISTATS 2021
Learning the Truth From Only One Side of the Story AISTATS 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference JMLR 2021
Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021
Differentially Private Bayesian Inference for Generalized Linear Models ICML 2021
Leveraging Non-uniformity in First-order Non-convex Optimization ICML 2021
Robust Regression Revisited: Acceleration and Improved Estimation Rates NIPS 2021
Hessian Eigenspectra of More Realistic Nonlinear Models NIPS 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations NIPS 2021
Jump-Starting Item Parameters for Adaptive Language Tests EMNLP 2021
Generalized Linear Bandits with Local Differential Privacy NIPS 2021
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021
Evading the Curse of Dimensionality in Unconstrained Private GLMs AISTATS 2021
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability NIPS 2020