NeurIPS 2023 Workshop OPT Submissions

A Predicting Clipping Asynchronous Stochastic Gradient Descent Method in Distributed Learning
Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Dueling Optimization with a Monotone Adversary
Avrim Blum, Meghal Gupta, Gene Li, Naren Sarayu Manoj, Aadirupa Saha, Yuanyuan Yang
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Oral
- Readers: Everyone
On Optimization Formulations of Finite Horizon MDPs
Rajat Vadiraj Dwaraknath, Lexing Ying
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates
Damien Scieur
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
Eric Zelikman, Eliana Lorch, Lester Mackey, Adam Tauman Kalai
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Non-Uniform Sampling and Adaptive Optimizers in Deep Learning
Thibault Lahire
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Regret Bounds for Optimistic Follow The Leader: Applications in Portfolio Selection and Linear Regression
Sudeep Raja Putta, Shipra Agrawal
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Hanmin Li, Avetik Karagulyan, Peter Richtárik
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
The Sharp Power Law of Local Search on Expanders
Simina Branzei, Davin Choo, Nicholas Recker
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties
David Martínez-Rubio, Christophe Roux, Christopher Criscitiello, Sebastian Pokutta
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Exploring Modern Evolution Strategies in Portfolio Optimization
Ramin Hasani, Etan A Ehsanfar, Greg A Banis, Rusty Bealer, Amir Soroush Ahmadi
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Revisiting Random Weight Perturbation for Efficiently Improving Generalization
Tao Li, Weihao Yan, Qinghua Tao, Zehao Lei, Yingwen Wu, Kun Fang, Mingzhen He, Xiaolin Huang
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtárik
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Accelerating Inexact HyperGradient Descent for Bilevel Optimization
Haikuo Yang, Luo Luo, Chris Junchi Li, Michael Jordan, Maryam Fazel
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Enhancing the Misreport Network for Optimal Auction Design
Haiying Wu, shuyuan you, Zhiqiang Zhuang, Kewen Wang, Zhe Wang
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization
Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
Guy Kornowski, Ohad Shamir
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Oral
- Readers: Everyone
GUC: Unsupervised non-parametric Global Clustering and Anomaly Detection
Chris Solomou
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
K-Spin Ising Model for Combinatorial Optimizations over Graphs: A Reinforcement Learning Approach
Xiao-Yang Liu, Ming Zhu
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone