:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Song, Wang, Leyang, Wang, Yakun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.07650
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
by: Williams, Daniel J., et al.
Published: (2024)

Zero-Flow Encoders
by: Wang, Yakun, et al.
Published: (2026)

Exponential Family Attention
by: Wibisono, Kevin Christian, et al.
Published: (2025)

Linear Independence of Generalized Neurons and Related Functions
by: Zhang, Leyang
Published: (2024)

Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
by: Liu, Shuai, et al.
Published: (2024)

Regret Analysis of Guided Diffusion for Black-Box Optimization over Structured Inputs
by: Adachi, Masaki, et al.
Published: (2026)

Missing Data Imputation by Reducing Mutual Information with Rectified Flows
by: Yu, Jiahao, et al.
Published: (2025)

Inversion-Free Natural Gradient Descent on Riemannian Manifolds
by: Draca, Dario, et al.
Published: (2026)

Direct Fisher Score Estimation for Likelihood Maximization
by: Khoo, Sherman, et al.
Published: (2025)

Diffusion Models for Inverse Problems in the Exponential Family
by: Micheli, Alessandro, et al.
Published: (2025)

Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families
by: Schwienhorst, Benedikt Lütke, et al.
Published: (2023)

Joint Representation Learning and Clustering via Gradient-Based Manifold Optimization
by: Liu, Sida, et al.
Published: (2026)

Exponential Family Discriminant Analysis: Generalizing LDA-Style Generative Classification to Non-Gaussian Models
by: Lakkapragada, Anish
Published: (2026)

Exponential Family Variational Flow Matching for Tabular Data Generation
by: Guzmán-Cordero, Andrés, et al.
Published: (2025)

Counterfactual Generative Models for Time-Varying Treatments
by: Wu, Shenghao, et al.
Published: (2023)

Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks
by: Nguyen, Duong Thuy Anh, et al.
Published: (2024)

Knowledge-Guided Time-Varying Causal Inference for Arctic Sea Ice Dynamics
by: Sampath, Akila, et al.
Published: (2026)

Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency
by: Chen, Junhao, et al.
Published: (2024)

Exploring Time Conditioning in Diffusion Generative Models from Disjoint Noisy Data Manifolds
by: Li, Liuzhuozheng, et al.
Published: (2026)

Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)

Identifiable Markov Switching Models with Instantaneous Effects and Exponential Families
by: Hulsman, Roel, et al.
Published: (2026)

Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
by: Hu, Leyang, et al.
Published: (2025)

Universal and Transferable Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)

Convergence of Natural Policy Gradient for a Family of Infinite-State Queueing MDPs
by: Grosof, Isaac, et al.
Published: (2024)

VarDiU: A Variational Diffusive Upper Bound for One-Step Diffusion Distillation
by: Wang, Leyang, et al.
Published: (2025)

Stein's Lemma for the Reparameterization Trick with Exponential Family Mixtures
by: Lin, Wu, et al.
Published: (2019)

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
by: Chen, Jun, et al.
Published: (2023)

Graph Laplacian Learning with Exponential Family Noise
by: Shi, Changhao, et al.
Published: (2023)

Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)

Frequency-Guided Action Diffusion via Sub-Frequency Manifold Traversal
by: Wang, Junlin
Published: (2026)

Rex: A Family of Reversible Exponential (Stochastic) Runge-Kutta Solvers
by: Blasingame, Zander W., et al.
Published: (2025)

Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection
by: Cichocki, Andrzej, et al.
Published: (2024)

Gradient-Guided Annealing for Domain Generalization
by: Ballas, Aristotelis, et al.
Published: (2025)

Manifold-Guided Attention Steering
by: Li, Ian, et al.
Published: (2026)

A Unified Theory of Exact Inference and Learning in Exponential Family Latent Variable Models
by: Sokoloski, Sacha
Published: (2024)

Geodesic Gradient Descent: A Generic and Learning-rate-free Optimizer on Objective Function-induced Manifolds
by: Hu, Liwei, et al.
Published: (2026)

Structure-Dependent Regret and Constraint Violation Bounds for Online Convex Optimization with Time-Varying Constraints
by: Liu, Xiufeng, et al.
Published: (2026)

Generative Model Inversion Through the Lens of the Manifold Hypothesis
by: Peng, Xiong, et al.
Published: (2025)

Manifold-Aware Temporal Domain Generalization for Large Language Models
by: Yao, Yiheng, et al.
Published: (2026)

T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
by: Shen, Zeyu, et al.
Published: (2026)