Image de couverture de livre

Constrained Reweighting of Distributions: an Optimal Transport Approach

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chakraborty, Abhisek, Bhattacharya, Anirban, Pati, Debdeep
Format:	Preprint
Publié:	2023
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

On Quantification of Borrowing of Information in Hierarchical Bayesian Models
par: Ghosh, Prasenjit, et autres
Publié: (2025)

Adaptive finite element type decomposition of Gaussian processes
par: Kim, Jaehoan, et autres
Publié: (2025)

Structured Optimal Variational Inference for Dynamic Latent Space Models
par: Zhao, Peng, et autres
Publié: (2022)

Factorized Fusion Shrinkage for Dynamic Relational Data
par: Zhao, Peng, et autres
Publié: (2022)

Stability of Sequential and Parallel Coordinate Ascent Variational Inference
par: Pati, Debdeep
Publié: (2026)

Frequentist Regret Analysis of Gaussian Process Thompson Sampling via Fractional Posteriors
par: Roy, Somjit, et autres
Publié: (2026)

A note on simulation methods for the Dirichlet-Laplace prior
par: Gruber, Luis, et autres
Publié: (2025)

Robust Simulation Based Inference Through Robust Optimal Transport
par: Jacobs, Peter Matthew, et autres
Publié: (2026)

Differentially private Bayesian tests
par: Chakraborty, Abhisek, et autres
Publié: (2024)

Hierarchical Bayesian Operator-induced Symbolic Regression Trees for Structural Learning of Scientific Expressions
par: Roy, Somjit, et autres
Publié: (2025)

Robust Bayesian Inference on Riemannian Submanifold
par: Tang, Rong, et autres
Publié: (2023)

Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
par: Dasgupta, Sutanoy, et autres
Publié: (2021)

Federated Learning by Utility-Constrained Stochastic Aggregation for Improving Rational Participation
par: Yashwanth, M, et autres
Publié: (2026)

Bayesian Semi-supervised Inference via a Debiased Modeling Approach
par: Sert, Gözde, et autres
Publié: (2025)

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
par: Zheng, Weihuang, et autres
Publié: (2024)

Tail-adaptive Bayesian shrinkage
par: Lee, Se Yoon, et autres
Publié: (2020)

Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrinkage
par: Chakraborty, Anirban, et autres
Publié: (2024)

Decentralized Entropic Optimal Transport for Distributed Distribution Comparison
par: Wang, Xiangfeng, et autres
Publié: (2023)

On the Necessity of Output Distribution Reweighting for Effective Class Unlearning
par: Ebrahimpour-Boroojeny, Ali, et autres
Publié: (2025)

CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
par: Sun, Ke, et autres
Publié: (2026)

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

Estimating Barycenters of Distributions with Neural Optimal Transport
par: Kolesov, Alexander, et autres
Publié: (2024)

Boosting the Power of Kernel Two-Sample Tests
par: Chatterjee, Anirban, et autres
Publié: (2023)

A unified Bayesian framework for interval hypothesis testing in clinical trials
par: Chakraborty, Abhisek, et autres
Publié: (2024)

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
par: Shukla, Shubhi, et autres
Publié: (2022)

Constrained Optimal Fuel Consumption of HEV: A Constrained Reinforcement Learning Approach
par: Yan, Shuchang
Publié: (2024)

Dual-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clustering
par: Xie, Fangyuan, et autres
Publié: (2025)

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning
par: Zhang, Kaichuang, et autres
Publié: (2025)

Distributional Counterfactual Explanations With Optimal Transport
par: You, Lei, et autres
Publié: (2024)

Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices
par: Chen, Jun, et autres
Publié: (2025)

Convergence Rates for Distribution Matching with Sliced Optimal Transport
par: Thurin, Gauthier, et autres
Publié: (2026)

Embedding Empirical Distributions for Computing Optimal Transport Maps
par: Jiang, Mingchen, et autres
Publié: (2025)

Partial Distribution Alignment via Adaptive Optimal Transport
par: Yang, Pei, et autres
Publié: (2025)

Distributional Preference Alignment of LLMs via Optimal Transport
par: Melnyk, Igor, et autres
Publié: (2024)

Constrained Density Estimation via Optimal Transport
par: Hu, Yinan, et autres
Publié: (2026)

Entropy Reweighted Conformal Classification
par: Luo, Rui, et autres
Publié: (2024)

An Optimal Transport Approach for Network Regression
par: Zalles, Alex G., et autres
Publié: (2024)

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
par: Blessing, Denis, et autres
Publié: (2025)

Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset
par: Ray, Abhisek, et autres
Publié: (2025)

Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
par: Choi, Jaemoo, et autres
Publié: (2025)