Cover Image

Fair Generalized Linear Mixed Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Burgard, Jan Pablo, Pamplona, João Vitor
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fair Mixed Effects Support Vector Machine
by: Burgard, Jan Pablo, et al.
Published: (2024)

FairML: A Julia Package for Fair Classification
by: Burgard, Jan Pablo, et al.
Published: (2024)

Predicting Accurate Lagrangian Multipliers for Mixed Integer Linear Programs
by: Demelas, Francesco, et al.
Published: (2023)

Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
by: Scavuzzo, Lara, et al.
Published: (2024)

Intersectional Fairness via Mixed-Integer Optimization
by: Němeček, Jiří, et al.
Published: (2026)

Metrizing Fairness
by: Rychener, Yves, et al.
Published: (2022)

Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees
by: Tang, Bo, et al.
Published: (2024)

Holistic Generalized Linear Models
by: Schwendinger, Benjamin, et al.
Published: (2022)

ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs
by: Huang, Weimin, et al.
Published: (2026)

Accelerating Single-Pass SGD for Generalized Linear Prediction
by: Chen, Qian, et al.
Published: (2026)

It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
by: Belbasi, Reza, et al.
Published: (2023)

Scalable Approximate Algorithms for Optimal Transport Linear Models
by: Kacprzak, Tomasz, et al.
Published: (2025)

Linear Model Extraction via Factual and Counterfactual Queries
by: Otto, Daan, et al.
Published: (2026)

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning
by: Cai, Junyang, et al.
Published: (2024)

Multi-task Representation Learning for Mixed Integer Linear Programming
by: Cai, Junyang, et al.
Published: (2024)

Risk-averse Fair Multi-class Classification
by: Dentcheva, Darinka, et al.
Published: (2025)

A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming
by: Anh, Vu Duc, et al.
Published: (2024)

Learning Fair And Effective Points-Based Rewards Programs
by: Hssaine, Chamsi, et al.
Published: (2025)

Fairness-informed Pareto Optimization : An Efficient Bilevel Framework
by: Tanji, Sofiane, et al.
Published: (2026)

Physics-informed Gaussian Processes as Linear Model Predictive Controller
by: Tebbe, Jörn, et al.
Published: (2024)

A Mechanism Study of Delayed Loss Spikes in Batch-Normalized Linear Models
by: Gao, Peifeng, et al.
Published: (2026)

Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement
by: Enami, Shoju, et al.
Published: (2026)

MiMuon: Mixed Muon Optimizer with Improved Generalization for Large Models
by: Huang, Feihu, et al.
Published: (2026)

Constructing Magic Squares: an integer constraint satisfaction problem and a fast approach
by: Pamplona, João Vitor, et al.
Published: (2025)

Nearly Optimal Linear Convergence of Stochastic Primal-Dual Methods for Linear Programming
by: Lu, Haihao, et al.
Published: (2021)

Linear Convergence of Entropy-Regularized Natural Policy Gradient with Linear Function Approximation
by: Cayci, Semih, et al.
Published: (2021)

A Fair OR-ML Framework for Resource Substitution in Large-Scale Networks
by: Mohan, Ved, et al.
Published: (2025)

Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
by: He, Yutian, et al.
Published: (2025)

Tsallis Entropy Regularization for Linearly Solvable MDP and Linear Quadratic Regulator
by: Hashizume, Yota, et al.
Published: (2024)

Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)

A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models
by: Xu, Ziqing, et al.
Published: (2025)

Counterfactual Explanations for Linear Optimization
by: Kurtz, Jannis, et al.
Published: (2024)

Online Linear Programming with Batching
by: Xu, Haoran, et al.
Published: (2024)

Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control
by: Jia, Zhuangzhuang, et al.
Published: (2025)

Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
by: Khatti, Zahra, et al.
Published: (2025)

Gradient Descent Converges Linearly to Flatter Minima than Gradient Flow in Shallow Linear Networks
by: Beneventano, Pierfrancesco, et al.
Published: (2025)

Scaling Laws for Gradient Descent and Sign Descent for Linear Bigram Models under Zipf's Law
by: Kunstner, Frederik, et al.
Published: (2025)

Robustly Learning Monotone Generalized Linear Models via Data Augmentation
by: Zarifis, Nikos, et al.
Published: (2025)

Ranking In Generalized Linear Bandits
by: Shidani, Amitis, et al.
Published: (2022)

Mixed-Integer Programming for Change-point Detection
by: Narula, Apoorva, et al.
Published: (2026)