NeurIPS 2023 Workshop OPT Submissions

Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle
Dániel Rácz, Mihaly Petreczky, Balint Daroczy, András Csertán
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Parameter-Agnostic Optimization under Relaxed Smoothness
Florian Hübler, Junchi YANG, Xiang Li, Niao He
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Continually Adapting Optimizers Improve Meta-Generalization
Wenyi Wang, Louis Kirsch, Francesco Faccio, Mingchen Zhuge, Jürgen Schmidhuber
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
DIRECT Optimisation with Bayesian Insights: Assessing Reliability Under Fixed Computational Budgets
Fu Wang, Zeyu Fu, Xiaowei Huang, Wenjie Ruan
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Bandit-Driven Batch Selection for Robust Learning under Label Noise
Michal Lisicki, Mihai Nica, Graham W. Taylor
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
On the Synergy Between Label Noise and Learning Rate Annealing in Neural Network Training
Stanley Wei, Tongzheng Ren, Simon Shaolei Du
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Understanding the Role of Optimization in Double Descent
Chris Yuhao Liu, Jeffrey Flanigan
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Noise Injection Irons Out Local Minima and Saddle Points
Konstantin Mishchenko, Sebastian U Stich
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Feature Selection in Generalized Linear models via the Lasso: To Scale or Not to Scale?
Anant Mathur, Sarat Babu Moka, Zdravko Botev
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Practical Principled Policy Optimization for Finite MDPs
Michael Lu, Matin Aghaei, Anant Raj, Sharan Vaswani
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Oral
- Readers: Everyone
Contrastive Predict-and-Search for Mixed Integer Linear Programs
Taoan Huang, Aaron M Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Last Iterate Convergence of Popov Method for Non-monotone Stochastic Variational Inequalities
Daniil Vankov, Angelia Nedich, Lalitha Sankar
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Oral
- Readers: Everyone
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression
Xuheng Li, Yihe Deng, Jingfeng Wu, Dongruo Zhou, Quanquan Gu
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Federated Learning with Convex Global and Local Constraints
Chuan He, Le Peng, Ju Sun
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
High-Dimensional Unbiased Prediction for Sequential Decision Making
Georgy Noarov, Ramya Ramalingam, Aaron Roth, Stephan Xie
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Oral
- Readers: Everyone
Pruning Neural Networks with Velocity-Constrained Optimization
Donghyun Oh, Jinseok Chung, Namhoon Lee
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Decentralized Learning Dynamics in the Gossip Model
John Lazarsfeld, Dan Alistarh
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Greedy Newton: Newton's Method with Exact Line Search
Betty Shea, Mark Schmidt
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
On the Interplay Between Stepsize Tuning and Progressive Sharpening
Vincent Roulet, Atish Agarwala, Fabian Pedregosa
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
The Expressive Power of Low-Rank Adaptation
Yuchen Zeng, Kangwook Lee
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Noise-adaptive (Accelerated) Stochastic Heavy-Ball Momentum
Anh Quang Dang, Reza Babanezhad Harikandeh, Sharan Vaswani
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Accelerated gradient descent: A guaranteed bound for a heuristic restart strategy
Walaa Moursi, Stephen A. Vavasis, Viktor Pavlovic
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Online Covariance Matrix Estimation in Stochastic Inexact Newton Methods
Wei Kuang, Sen Na, Mihai Anitescu
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Almost multisecant BFGS quasi-Newton method
Mokhwa Lee, Yifan Sun
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
From 6235149080811616882909238708 to 29: Vanilla Thompson Sampling Revisited
Bingshan Hu, Tianyue H. Zhang
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone