NeurIPS 2024 Workshop OPT Submissions

Distributionally Robust Linear Regression With Block Lewis Weights
Naren Sarayu Manoj, Kumar Kshitij Patel
- Published: 10 Oct 2024, Last Modified: 09 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
On the Hypomonotone Class of Variational Inequalities
Khaled Alomar, Tatjana Chavdarova
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Linear Attention Sequence Parallelism
Weigao Sun, Zhen Qin, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong
- Published: 10 Oct 2024, Last Modified: 11 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Spurious Stationarity and Hardness Results for Mirror Descent
He Chen, Jiajin Li, Anthony Man-Cho So
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Uncoupled and Convergent Learning in Monotone Games under Bandit Feedback
Jing Dong, Baoxiang Wang, Yaoliang Yu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
A fast and efficient randomized quasi-Newton method
Danny Duan, Hanbaek Lyu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Aligned Multi-Objective Optimization
Yonathan Efroni, Daniel Jiang, Ben Kretzu, Jalaj Bhandari, Zheqing Zhu, Karen Ullrich
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Nonlinear tomographic reconstruction via nonsmooth optimization
Vasileios Charisopoulos, Rebecca Willett
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior
Anming Gu, Edward Chien, Kristjan Greenewald
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
AdEMAMix: Better and Faster Training with Older Gradients
Matteo Pagliardini, Pierre Ablin, David Grangier
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
The Crucial Role of Samplers in Online Direct Preference Optimization
Ruizhe Shi, Runlong Zhou, Simon Shaolei Du
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Hierarchical Simplicity Bias of Neural Networks
Zhehang Du
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne, David S Rosenberg, Gary Kazantsev, Pawel Polak
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Estimating Vote Choice in U.S. Elections with Approximate Poisson-Binomial Logistic Regression
Nic Fishman, Evan Rosenman
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Efficient Levenberg-Marquardt for SLAM
Amir Belder, Refael Vivanti
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Applications of fractional calculus in learned optimization
Teodor Alexandru Szente, James Harrison, Mihai Zanfir, Cristian Sminchisescu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
High Dimensional First Order Mini-Batch Algorithms on Quadratic Problems
Andrew Nicholas Cheng, Kiwon Lee, Courtney Paquette
- Published: 10 Oct 2024, Last Modified: 14 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Multi Objective Regionalized Bayesian Optimization via Entropy Search
Thomas James, Sinnu Thomas
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
DADA: Dual Averaging with Distance Adaptation
Mohammad Moshtaghifar, Anton Rodomanov, Daniil Vankov, Sebastian U Stich
- Published: 07 Dec 2024, Last Modified: 12 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
A Stochastic Algorithm for Sinkhorn Distance-Regularized Distributionally Robust Optimization
Yufeng Yang, Yi Zhou, Zhaosong Lu
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Multimodal Federated Learning with Model Personalization
Ratun Rahman, Dinh C.Nguyen
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Dual Feature Reduction for the Sparse-Group Lasso and its Adaptive Variant
Fabio Feser, Marina Evangelou
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Nonmonotone Line Searches Operate at the Edge of Stability
Curtis Fox, Leonardo Galli, Mark Schmidt, Holger Rauhut
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
On the Hardness of Meaningful Local Guarantees in Nonsmooth Nonconvex Optimization
Guy Kornowski, Swati Padmanabhan, Ohad Shamir
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone