:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jeon, Kijung, Muehlebach, Michael, Tao, Molei
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation
Online Access:	https://arxiv.org/abs/2604.17838
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fast Non-Log-Concave Sampling under Nonconvex Equality and Inequality Constraints with Landing
by: Jeon, Kijung, et al.
Published: (2025)

Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond
by: Guo, Wei, et al.
Published: (2025)

ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining
by: Bal, Melis Ilayda, et al.
Published: (2025)

Primal Methods for Variational Inequality Problems with Functional Constraints
by: Zhang, Liang, et al.
Published: (2024)

Mirror Diffusion Models for Constrained and Watermarked Generation
by: Liu, Guan-Horng, et al.
Published: (2023)

What Exactly Does Guidance Do in Masked Discrete Diffusion Models
by: Ye, He, et al.
Published: (2025)

MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control
by: Zhu, Yuchen, et al.
Published: (2025)

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces
by: Rojas, Kevin, et al.
Published: (2025)

Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images
by: Zhu, Sichen, et al.
Published: (2025)

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)

Provable Separations between Memorization and Generalization in Diffusion Models
by: Ye, Zeqi, et al.
Published: (2025)

Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
by: Guo, Wei, et al.
Published: (2024)

Generalization of Diffusion Models Arises with a Balanced Representation Space
by: Zhang, Zekai, et al.
Published: (2025)

Accelerated First-Order Optimization under Nonlinear Constraints
by: Muehlebach, Michael, et al.
Published: (2023)

Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
by: Rojas, Kevin, et al.
Published: (2025)

Diffusion Model's Generalization Can Be Characterized by Inductive Biases toward a Data-Dependent Ridge Manifold
by: He, Ye, et al.
Published: (2026)

Extragradient Type Methods for Riemannian Variational Inequality Problems
by: Hu, Zihao, et al.
Published: (2023)

A Systems-Theoretic View on the Convergence of Algorithms under Disturbances
by: Er, Guner Dilsad, et al.
Published: (2025)

Teaching Machine Learning Fundamentals with LEGO Robotics
by: Sydora, Viacheslav, et al.
Published: (2026)

DFU: scale-robust diffusion model for zero-shot super-resolution image generation
by: Havrilla, Alex, et al.
Published: (2023)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
by: He, Ye, et al.
Published: (2024)

Variational Schrödinger Momentum Diffusion
by: Rojas, Kevin, et al.
Published: (2025)

Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms
by: Ren, Yinuo, et al.
Published: (2025)

Quantum State Generation with Structure-Preserving Diffusion Model
by: Zhu, Yuchen, et al.
Published: (2024)

TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion
by: Tang, Sophia, et al.
Published: (2025)

Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups
by: Zhu, Yuchen, et al.
Published: (2024)

Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization
by: Zhu, Yuchen, et al.
Published: (2025)

Distributed Event-Based Learning via ADMM
by: Er, Guner Dilsad, et al.
Published: (2024)

Proximal Diffusion Neural Sampler
by: Guo, Wei, et al.
Published: (2025)

Prism: Efficient Test-Time Scaling via Hierarchical Search and Self-Verification for Discrete Diffusion Language Models
by: Bai, Jinbin, et al.
Published: (2026)

Quantitative Convergences of Lie Group Momentum Optimizers
by: Kong, Lingkai, et al.
Published: (2024)

A Comparative Study of Adaptation Strategies for Time Series Foundation Models in Anomaly Detection
by: Park, Miseon, et al.
Published: (2026)

Plug-and-Play Controllable Generation for Discrete Masked Models
by: Guo, Wei, et al.
Published: (2024)

RELEAP: Reinforcement-Enhanced Label-Efficient Active Phenotyping for Electronic Health Records
by: Yang, Yang, et al.
Published: (2025)

Convergence of Kinetic Langevin Monte Carlo on Lie groups
by: Kong, Lingkai, et al.
Published: (2024)

Commit to the Bit: Reactive Reinforcement Learning Done Right
by: Eberhard, Onno, et al.
Published: (2026)

Partially Observable Reinforcement Learning with Memory Traces
by: Eberhard, Onno, et al.
Published: (2025)

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
by: Muehlebach, Michael, et al.
Published: (2021)

Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
by: Kladny, Klaus-Rudolf, et al.
Published: (2024)

Regression under demographic parity constraints via unlabeled post-processing
by: Chzhen, Evgenii, et al.
Published: (2024)