NeurIPS 2023 Workshop OPT Submissions

Stochastic FISTA Step Search Algorithm for Convex Optimization
Trang H. Tran, Lam M. Nguyen, Katya Scheinberg
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Diversity-adjusted adaptive step size
Parham Yazdkhasti, Xiaowen Jiang, Sebastian U Stich
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm
Peiyuan Zhang, Jingzhao Zhang, Suvrit Sra
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Surrogate Minimization: An Optimization Algorithm for Training Large Neural Networks with Model Parallelism
Reza Asad, Reza Babanezhad Harikandeh, Issam H. Laradji, Nicolas Le Roux, Sharan Vaswani
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Noise Stability Optimization For Flat Minima With Tight Rates
Haotian Ju, Dongyue Li, Hongyang R. Zhang
- Published: 26 Oct 2023, Last Modified: 23 Jan 2024
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Follow the flow: Proximal flow inspired multi-step methods
Yushen Huang, Yifan Sun
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
$f$-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Sina Baharlouei, Shivam Patel, Meisam Razaviyayn
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
A novel analysis of gradient descent under directional smoothness
Aaron Mishkin, Ahmed Khaled, Aaron Defazio, Robert M. Gower
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Utility-based Perturbed Gradient Descent: An Optimizer for Continual Learning
Mohamed Elsayed, A. Rupam Mahmood
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Efficient Learning in Polyhedral Games via Best Response Oracles
Darshan Chakrabarti, Gabriele Farina, Christian Kroer
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness
Sruthi Gorantla, Eshaan Bhansali, Amit Deshpande, Anand Louis
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Reducing Predict and Optimize to Convex Feasibility
Saurabh kumar Mishra, Sharan Vaswani
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya, Eshwar Ram Arunachaleswaran, Juba Ziani, Aaron Roth, Sampath Kannan
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Riemannian Optimization for Euclidean Distance Geometry
Chandler Mack Smith, Samuel P. Lichtenberg, HanQin Cai, Abiy Tasissa
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Learning Multiobjective Program Through Online Learning
Chaosheng Dong, Yijia Wang, Bo Zeng
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Variance Reduced Model Based Methods: New rates and adaptive step sizes
Robert M. Gower, Frederik Kunstner, Mark Schmidt
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
New Horizons in Parameter Regularization: A Constraint Approach
Jörg K.H. Franke, Michael Hefenbrock, Gregor Koehler, Frank Hutter
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Multi-head CLIP: Improving CLIP with Diverse Representations and Flat Minima
Mo Zhou, Xiong Zhou, Li Erran Li, Stefano Ermon, Rong Ge
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
On the convergence of warped proximal iterations for solving nonmonotone inclusions and applications
Dimitri Papadimitriou, Bang Công Vu
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Large-scale Non-convex Stochastic Constrained Distributionally Robust Optimization
Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Adam through a Second-Order Lens
Ross M Clarke, Baiyu Su, José Miguel Hernández-Lobato
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches
Michal Derezinski
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Nesterov Meets Robust Multitask Learning Twice
Yifan Kang, Kai Liu
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
An alternative approach to train neural networks using monotone variational inequality
Chen Xu, Xiuyuan Cheng, Yao Xie
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone
Safe Posterior Sampling for Constrained MDPs with Bounded Constraint Violation
Krishna C Kalagarla, Rahul Jain, Pierluigi Nuzzo
- Published: 26 Oct 2023, Last Modified: 13 Dec 2023
- NeurIPS 2023 Workshop Poster
- Readers: Everyone