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FineAMP: Optimization-Based Automatic Mixed Precision Quantization for Efficient Diffusion Model Inference
Burak Bartan, Ruizhong Qiu, Rafael Esteves, Yuwei Ren, Weiliang Will Zeng, An Chen
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Weight Decay may matter more than µP for Learning Rate Transfer in Practice
Atli Kosson, Jeremy Welborn, Yang Liu, Martin Jaggi, Xi Chen
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Multi-Timescale Gradient Sliding for Distributed Optimization
Junhui Zhang, Patrick Jaillet
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Faster Gradient Methods for Highly-smooth Stochastic Bilevel Optimization
Lesi Chen, Junru Li, El Mahdi Chayti, Jingzhao Zhang
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Convergence for Discrete Parameter Update Schemes
Paul W Wilson, Fabio Zanasi, George Anthony Constantinides
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Projected Compression
Maciej Stefaniak, Michał Krutul, Mikołaj Dziok, Jan Małaśnicki, Maciej Pióro, Jakub Krajewski, Sebastian Jaszczur, Marek Cygan, Kamil Adamczewski, Jan Ludziejewski
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Block-Diagonal K-FAC: A Trade-off Between Curvature Information and Resource Efficiency
Mingzhe Yu, Osamu Tatebe
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
On the Benefits of Weight Normalization for Overparameterized Matrix Sensing
Yudong Wei, Liang Zhang, Bingcong Li, Niao He
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Lipschitz Optimization via Weighted Sampling Based on Expected Potential Maximizers Reduction
Hideyuki Masui, Koki Nakane, Renshi Nagasawa
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
On the Limits of Momentum in Decentralized and Federated Optimization
Riccardo Zaccone, Sai Praneeth Karimireddy, Carlo Masone
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Benefits of Learning Rate Annealing for Tuning-Robustness in Stochastic Optimization
Amit Attia, Tomer Koren
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Exploring Magnitude Preservation and Rotation Modulation in Diffusion Transformers
Eric Tillmann Bill, Cristian Perez Jensen
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Implicit Bias of Polyak and Line-Search Step Sizes on Linear Classification with Separable Data
Chen Fan, Reza Babanezhad Harikandeh, Christos Thrampoulidis, Mark Schmidt, Sharan Vaswani
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Fast decentralized gradient tracking for federated learning with local updates
Chris Junchi Li
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Revisiting the Geometrically Decaying Step Size: Linear Convergence for Smooth or Non-Smooth Functions
Jihun Kim
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Distributionally Robust Optimization via Diffusion Ambiguity Modeling
JIAQI WEN, Jianyi Yang
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
What really matters in matrix-whitening optimizers?
Kevin Frans, Pieter Abbeel, Sergey Levine
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
From Emergence to Intention: A Statistical Inductive Bias for Tractable Optimization in Multi-Agent Coordination
Brennen Hill, Mant Koh En Wei, Jishnuanandh Thangavel
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
HiSo: Efficient Federated Zeroth-Order Optimization via Hessian-Informed Acceleration and Scalar-Only Communication
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Asymptotic and Finite-Time Guarantees for Langevin-Based Temperature Annealing in InfoNCE
Faris Chaudhry
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
On Optimizing Large Scale Multi-Class Logistic Regression
Yifan Kang, Yarui Cao, Kai Liu
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
DRO: A Python Library for Distributionally Robust Optimization in Machine Learning
Jiashuo Liu, Tianyu Wang, Henry Lam, Hongseok Namkoong, Jose Blanchet
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Curriculum-Learning PIELMs for Hemodynamic Flows
Vikas Dwivedi, Monica Sigovan, Sixou Bruno
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
New Optimization Methods for Very Large Scale SVMs
Yifan Kang, Yarui Cao, Kai Liu
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone
Learning by solving differential equations
Benoit Dherin, Michael Munn, Hanna Mazzawi, Michael Wunder, Sourabh Medapati, Javier Gonzalvo
- Published: 22 Sept 2025, Last Modified: 01 Dec 2025
- NeurIPS 2025 Workshop
- Readers: Everyone

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