Image de couverture de livre

On Sinkhorn's Algorithm and Choice Modeling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qu, Zhaonan, Galichon, Alfred, Gao, Wenzhi, Ugander, Johan
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control Machine Learning Econometrics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distributionally Robust Instrumental Variables Estimation
par: Qu, Zhaonan, et autres
Publié: (2024)

A Nonparametric Approach with Marginals for Modeling Consumer Choice
par: Ruan, Yanqiu, et autres
Publié: (2022)

Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
par: Chen, Xuxing, et autres
Publié: (2024)

PPI-SVRG: Unifying Prediction-Powered Inference and Variance Reduction for Semi-Supervised Optimization
par: Ao, Ruicheng, et autres
Publié: (2026)

Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
par: Li, Jin, et autres
Publié: (2021)

Inverse Reinforcement Learning with Just Classification and a Few Regressions
par: van der Laan, Lars, et autres
Publié: (2025)

Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
par: Chang, Serina, et autres
Publié: (2024)

What Is the Alignment Tax?
par: Young, Robin
Publié: (2026)

On the Estimation of Multinomial Logit and Nested Logit Models: A Conic Optimization Approach
par: Pham, Hoang Giang, et autres
Publié: (2025)

Portfolio Optimization with Robust Covariance and Conditional Value-at-Risk Constraints
par: Zhou, Qiqin
Publié: (2024)

Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
par: Tang, Xun, et autres
Publié: (2024)

Sinkhorn Distributionally Robust Optimization
par: Wang, Jie, et autres
Publié: (2021)

A Sinkhorn-type Algorithm for Constrained Optimal Transport
par: Tang, Xun, et autres
Publié: (2024)

Load Asymptotics and Dynamic Speed Optimization for the Greenest Path Problem: A Comprehensive Analysis
par: Moradi, Poulad, et autres
Publié: (2023)

The Nonstationary Newsvendor with (and without) Predictions
par: An, Lin, et autres
Publié: (2023)

Joint Location and Cost Planning in Maximum Capture Facility Location under Multiplicative Random Utility Maximization
par: Duong, Ngan Ha, et autres
Publié: (2022)

Reducing Marketplace Interference Bias Via Shadow Prices
par: Bright, Ido, et autres
Publié: (2022)

Competitive Facility Location with Market Expansion and Customer-centric Objective
par: Le, Cuong, et autres
Publié: (2024)

An econometrician's guide to optimal transport
par: Galichon, Alfred, et autres
Publié: (2026)

Importance Sparsification for Sinkhorn Algorithm
par: Li, Mengyu, et autres
Publié: (2023)

Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
par: Yang, Yufeng, et autres
Publié: (2025)

Optimising pandemic response through vaccination strategies using neural networks
par: Zhai, Chang, et autres
Publié: (2025)

Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets
par: Wang, Jie, et autres
Publié: (2024)

Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity
par: Gao, Wenzhi, et autres
Publié: (2024)

Estimating separable matching models
par: Alfred Galichon, et autres
Publié: (2024)

A Generalized Sinkhorn Algorithm for Mean-Field Schrödinger Bridge
par: Eldesoukey, Asmaa, et autres
Publié: (2026)

The Use of Binary Choice Forests to Model and Estimate Discrete Choices
par: Chen, Ningyuan, et autres
Publié: (2019)

Posterior and Likelihood Sensitivity in Bayesian Distributionally Robust Optimization
par: Gotoh, Jun-ya, et autres
Publié: (2026)

Transferable Utility Matching Beyond Logit: Computation and Estimation with General Heterogeneity
par: Galichon, Alfred, et autres
Publié: (2025)

Repeated Matching Games: An Empirical Framework
par: Corblet, Pauline, et autres
Publié: (2025)

Small Gradient Norm Regret for Online Convex Optimization
par: Gao, Wenzhi, et autres
Publié: (2026)

Revealed Information
par: Doval, Laura, et autres
Publié: (2024)

Contrasting the optimal resource allocation to cybersecurity and cyber insurance using prospect theory versus expected utility theory
par: Joshi, Chaitanya, et autres
Publié: (2024)

IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
par: Roy, Millend, et autres
Publié: (2025)

Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing
par: Chizat, Lénaïc
Publié: (2024)

PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport
par: Wu, Di, et autres
Publié: (2025)

Sinkhorn algorithms and linear programming solvers for optimal partial transport problems
par: Bai, Yikun
Publié: (2024)

Scalable Approximate Optimal Diagonal Preconditioning
par: Gao, Wenzhi, et autres
Publié: (2023)

Wait-Less Offline Tuning and Re-solving for Online Decision Making
par: Sun, Jingruo, et autres
Publié: (2024)

Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
par: Singh, Amandeep, et autres
Publié: (2023)