NeurIPS 2024 Workshop OPT Submissions

Stochastic Quasi-Variational Inequalities: Convergence Analysis Beyond Strong Monotonicity
Zeinab Alizadeh, Afrooz Jalilzadeh
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
An Elementary Predictor Obtaining 2\sqrt{T} Distance to Calibration
Eshwar Ram Arunachaleswaran, Natalie Collina, Aaron Roth, Mirah Shi
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Second-Order Forward-Mode Automatic Differentiation for Optimization
Adam D. Cobb, Atilim Gunes Baydin, Barak A. Pearlmutter, Susmit Jha
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Batch size invariant Adam
Xi Wang, Laurence Aitchison
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone
Fast decentralized gradient tracking for federated learning with local updates: From mini to minimax optimization
Chris Junchi Li
- Published: 10 Oct 2024, Last Modified: 07 Dec 2024
- NeurIPS 2024 Workshop
- Readers: Everyone