:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dannemann, Joris, Junike, Gero
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Probability
Accès en ligne:	https://arxiv.org/abs/2502.17913
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Accuracy estimation of neural networks by extreme value theory
par: Junike, Gero, et autres
Publié: (2025)

Sampling Boltzmann distributions via normalizing flow approximation of transport maps
par: Rehman, Zia Ur, et autres
Publié: (2026)

Dissimilar Batch Decompositions of Random Datasets
par: Ganesan, Ghurumuruhan
Publié: (2025)

Expected Batch Optimal Transport Plans and Consequences for Flow Matching
par: Boïté, Samuel, et autres
Publié: (2026)

Dynamic Structural Causal Models
par: Boeken, Philip, et autres
Publié: (2024)

Precise quantile function estimation from the characteristic function
par: Junike, Gero
Publié: (2025)

On the number of terms in the COS method for European option pricing
par: Junike, Gero
Publié: (2023)

Are Bayesian networks typically faithful?
par: Boeken, Philip, et autres
Publié: (2024)

Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve
par: Pessoa, Pedro, et autres
Publié: (2025)

Complete Causal Identification from Ancestral Graphs under Selection Bias
par: Chen, Leihao, et autres
Publié: (2026)

A variational approach to dimension-free self-normalized concentration
par: Chugg, Ben, et autres
Publié: (2025)

Constructive conditional normalizing flows
par: Geshkovski, Borjan, et autres
Publié: (2026)

Efficiently learning and sampling multimodal distributions with data-based initialization
par: Koehler, Frederic, et autres
Publié: (2024)

Regret of exploratory policy improvement and $q$-learning
par: Tang, Wenpin, et autres
Publié: (2024)

Alternating minimization algorithm with initialization analysis for r-local and k-sparse unlabeled sensing
par: Abbasi, Ahmed, et autres
Publié: (2022)

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
par: Lytras, Iosif, et autres
Publié: (2025)

When does the mean network capture the topology of a sample of networks?
par: Meyer, François G
Publié: (2024)

Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization
par: Chandrasekher, Kabir Aladin, et autres
Publié: (2022)

Enhancing Fourier pricing with machine learning
par: Junike, Gero, et autres
Publié: (2024)

From characteristic functions to multivariate distribution functions and European option prices by the damped COS method
par: Junike, Gero, et autres
Publié: (2023)

Exponentially improved efficient machine learning for quantum many-body states with provable guarantees
par: Che, Yanming, et autres
Publié: (2023)

Tunable correlation retention: A statistical method for generating synthetic data
par: Jävergård, Nicklas, et autres
Publié: (2024)

Mitigating mode collapse in normalizing flows by annealing with an adaptive schedule: Application to parameter estimation
par: Wang, Yihang, et autres
Publié: (2025)

Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion
par: Kim, Hwanwoo, et autres
Publié: (2025)

Minima and Critical Points of the Bethe Free Energy Are Invariant Under Deformation Retractions of Factor Graphs
par: Sergeant-Perthuis, Grégoire, et autres
Publié: (2025)

Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural Architectures
par: Lu, Weiguo, et autres
Publié: (2025)

Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion
par: Hayakawa, Satoshi, et autres
Publié: (2025)

Free Random Projection for In-Context Reinforcement Learning
par: Hayase, Tomohiro, et autres
Publié: (2025)

Diffusion annealed Langevin dynamics: a theoretical study
par: Cattiaux, Patrick, et autres
Publié: (2025)

Efficiency of Parallel and Restart Exploration Strategies in Model Free Stochastic Simulations
par: Garcia, Ernesto, et autres
Publié: (2025)

Convergence, Sticking and Escape: Stochastic Dynamics Near Critical Points in SGD
par: Dudukalov, Dmitry, et autres
Publié: (2025)

Student-t processes as infinite-width limits of posterior Bayesian neural networks
par: Caporali, Francesco, et autres
Publié: (2025)

Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
par: Yan, Zimo, et autres
Publié: (2025)

Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
par: Sorokin, Aleksei G.
Publié: (2025)

Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
par: Patrone, Paul, et autres
Publié: (2025)

Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
par: Boïté, Samuel, et autres
Publié: (2025)

Accelerating Langevin Monte Carlo Sampling: A Large Deviations Analysis
par: Yao, Nian, et autres
Publié: (2025)

Flow Matching: Markov Kernels, Stochastic Processes and Transport Plans
par: Wald, Christian, et autres
Publié: (2025)

An invertible generative model for forward and inverse problems
par: van Leeuwen, Tristan, et autres
Publié: (2025)

Test Set Sizing for the Ridge Regression
par: Dubbs, Alexander
Publié: (2025)