Image de couverture de livre

Sequential transport maps using SoS density estimation and $α$-divergences

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zanger, Benjamin, Zahm, Olivier, Cui, Tiangang, Schreiber, Martin
Format:	Preprint
Publié:	2024
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 the representation and learning of monotone triangular transport maps
par: Baptista, Ricardo, et autres
Publié: (2020)

Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalities
par: Li, Matthew T. C., et autres
Publié: (2024)

Stream of Search (SoS): Learning to Search in Language
par: Gandhi, Kanishk, et autres
Publié: (2024)

Optimal Riemannian metric for Poincaré inequalities and how to ideally precondition Langevin dynamics
par: Cui, Tiangang, et autres
Publié: (2024)

SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications
par: Diakonikolas, Ilias, et autres
Publié: (2024)

SoS1: O1 and R1-Like Reasoning LLMs are Sum-of-Square Solvers
par: Li, Kechen, et autres
Publié: (2025)

SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More
par: Diakonikolas, Ilias, et autres
Publié: (2024)

Alpha-divergence loss function for neural density ratio estimation
par: Kitazawa, Yoshiaki
Publié: (2024)

Stein's method for marginals on large graphical models
par: Cui, Tiangang, et autres
Publié: (2024)

Proximal optimal transport divergences
par: Baptista, Ricardo, et autres
Publié: (2025)

Bounds on Lp errors in density ratio estimation via f-divergence loss functions
par: Kitazawa, Yoshiaki
Publié: (2024)

Low-rank Bayesian matrix completion via geodesic Hamiltonian Monte Carlo on Stiefel manifolds
par: Cui, Tiangang, et autres
Publié: (2024)

Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
par: Chen, Qiao, et autres
Publié: (2024)

Entropic estimation of optimal transport maps
par: Pooladian, Aram-Alexandre, et autres
Publié: (2021)

FLUID: Flow-based Unified Inference for Dynamics
par: Cui, Tiangang, et autres
Publié: (2026)

Diverse Projection Ensembles for Distributional Reinforcement Learning
par: Zanger, Moritz A., et autres
Publié: (2023)

On a few pitfalls in KL divergence gradient estimation for RL
par: Tang, Yunhao, et autres
Publié: (2025)

Optimal transport map estimation in general function spaces
par: Divol, Vincent, et autres
Publié: (2022)

Asymptotic breakdown point analysis of the minimum density power divergence estimator under independent non-homogeneous setups
par: Jana, Suryasis, et autres
Publié: (2025)

Convergence rates for the moment-SoS hierarchy
par: Schlosser, Corbinian, et autres
Publié: (2024)

Minimizing robust density power-based divergences for general parametric density models
par: Okuno, Akifumi
Publié: (2023)

$α$-divergence Improves the Entropy Production Estimation via Machine Learning
par: Kwon, Euijoon, et autres
Publié: (2023)

Distributed, communication-efficient, and differentially private estimation of KL divergence
par: Scott, Mary, et autres
Publié: (2024)

MCD: Marginal Contrastive Discrimination for conditional density estimation
par: Meziani, Katia, et autres
Publié: (2022)

Time-dependent density estimation using binary classifiers
par: Dasgupta, Agnimitra, et autres
Publié: (2025)

How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning
par: Weltevrede, Max, et autres
Publié: (2025)

Sequential Regression for Continuous Value Prediction using Residual Quantization
par: Cui, Runpeng, et autres
Publié: (2026)

Coreset selection for the Sinkhorn divergence and generic smooth divergences
par: Kokot, Alex, et autres
Publié: (2025)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
par: Baptista, Ricardo, et autres
Publié: (2024)

An SoS Entropy Dichotomy via Windowed Hypercontractivity
par: Lela, Marko
Publié: (2025)

Neighborhood density estimation using space-partitioning based hashing schemes
par: Jindal, Aashi
Publié: (2025)

SoK: Machine Unlearning for Large Language Models
par: Ren, Jie, et autres
Publié: (2025)

Reinforcement Learning with Markov Risk Measures and Multipattern Risk Approximation
par: Ruszczynski, Andrzej, et autres
Publié: (2026)

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
par: Fan, Zhiwei, et autres
Publié: (2025)

Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
par: Zanger, Moritz A., et autres
Publié: (2025)

Constructive approximate transport maps with normalizing flows
par: Álvarez-López, Antonio, et autres
Publié: (2024)

An SoS Analytical Workbench Approach to Architectural Analysis and Evolution
par: Daniel DeLaurentis, et autres
Publié: (2025)

Trustworthy predictive distributions for rare events via diagnostic transport maps
par: Cucuzzella, Elizabeth, et autres
Publié: (2026)

Variational f-divergence Minimization
par: Zhang, Mingtian, et autres
Publié: (2019)

Continuity Laws for Sequential Models
par: Yu, Annan, et autres
Publié: (2026)