NeurIPS 2024 Workshop OPT Submissions

Personalized Federated Learning via Low-Rank Matrix Factorization
Ali Dadras, Sebastian U Stich, Alp Yurtsever
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Path Integral Optimiser: Global Optimisation via Neural Schrödinger-Föllmer Diffusion
Max McGuinness, Eirik Fladmark, Francisco Vargas
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Lion's sign noise can make training more stable
Simon Elistratov, Andrey Podivilov, Timofei Iuzhakov, Dmitry Vetrov
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
MindFlayer: Efficient Asynchronous Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times
Arto Maranjyan, Omar Shaikh Omar, Peter Richtárik
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Simple and Scalable Federated Learning with Uncertainty via Improved Variational Online Newton
Shivam Pal, Aishwarya Gupta, Saqib Sarwar, Piyush Rai
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Modularity aided consistent attributed graph clustering via coarsening
Samarth Bhatia, Yukti Makhija, Manoj Kumar, Sandeep Kumar
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Statistical Inference in Latent Convex Objectives with Stream Data
Rohan Chauhan, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Michael I. Jordan
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Connections between Schedule-Free SGD, Accelerated SGD Variants, and Weight Averaging
Depen Morwani, Nikhil Vyas, Hanlin Zhang, Sham M. Kakade
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
A theoretical study of the $(L_0,L_1)$-smoothness condition in deep learning
Y Cooper
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
Matan Schliserman, Uri Sherman, Tomer Koren
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
SPAM: Stochastic Proximal Point Method with Momentum Variance Reduction for Nonconvex Cross-Device Federated Learning
Avetik Karagulyan, Egor Shulgin, Abdurakhmon Sadiev, Peter Richtárik
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Neural Networks with Complex-Valued Weights Have No Spurious Local Minima
Xingtu Liu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
A Continuous Variable Optimization method for the Quadratic Assignment Problem
Aron Vizkeleti, Timothee Leleu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Weak to Strong Learning from Aggregate Labels
Yukti Makhija, Rishi Saket
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Communication-efficient Algorithms Under Generalized Smoothness Assumptions
Sarit Khirirat, Abdurakhmon Sadiev, Artem Riabinin, Eduard Gorbunov, Peter Richtárik
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Extra-Gradient and Optimistic Gradient Descent Converge in Iterates Faster than $O(1/\sqrt{T})$ in All Monotone Lipschitz Variational Inequalities
Kimon Antonakopoulos
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Optimal Transport for Probabilistic Circuits
Adrian Ciotinga, YooJung Choi
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat, Arto Maranjyan, Peter Richtárik
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
u-$\mu$P: The Unit-Scaled Maximal Update Parametrization
Charlie Blake, Constantin Eichenberg, Josef Dean, Lukas Balles, Luke Yuri Prince, Björn Deiseroth, Andres Felipe Cruz-Salinas, Carlo Luschi, Samuel Weinbach, Douglas Orr
- Published: 10 Oct 2024, Last Modified: 10 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Normalization Matters for Optimization Performance on Graph Neural Networks
Alan Milligan, Frederik Kunstner, Hamed Shirzad, Mark Schmidt, Danica J. Sutherland
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Amplitude Modulated Riemannian Optimization for QAP
Timothee Leleu, Aron Vizkeleti, Sam Reifenstein
- Published: 10 Oct 2024, Last Modified: 13 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Optimizing Attention
Hanno Ackermann, Hong Cai, Markus Nagel, Leyla Mirvakhabova, Farhad G. Zanjani, Fatih Porikli
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
Dimitar Chakarov, Nikita Tsoy, Kristian Minchev, Nikola Konstantinov
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Aggregating Data for Optimal and Private Learning
Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Adaptive Partitioning Schemes for Black-Box Optimization
Raja Sunkara, Ardhendu Tripathy
- Published: 10 Oct 2024, Last Modified: 11 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone