Chance Constrained Optimization for Targeted Internet Advertising. - Antoine Deza; Kai Huang 003; Michael R. Metel (CoRR, 2014)

Kelly Betting on Horse Races with Uncertainty in Probability Estimates. - Michael R. Metel (Decis. Anal., 2018)

Managing losses in exotic horse race wagering. - Antoine Deza; Kai Huang 003; Michael R. Metel (J. Oper. Res. Soc., 2018)

Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization. - Michael R. Metel; Akiko Takeda (ICML, 2019)

Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization. - Michael R. Metel; Akiko Takeda (J. Mach. Learn. Res., 2021)

Primal-dual subgradient method for constrained convex optimization problems. - Michael R. Metel; Akiko Takeda (Optim. Lett., 2021)

Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision Environments. - Michael R. Metel (CoRR, 2022)

Charging station optimization for balanced electric car sharing. - Antoine Deza; Kai Huang 003; Michael R. Metel (Discret. Appl. Math., 2022)

Perturbed Iterate SGD for Lipschitz Continuous Loss Functions. - Michael R. Metel; Akiko Takeda (J. Optim. Theory Appl., 2022)

Mathematical Challenges in Deep Learning. - Vahid Partovi Nia; Guojun Zhang; Ivan Kobyzev; Michael R. Metel; Xinlin Li; Ke Sun 013; Sobhan Hemati; Masoud Asgharian; Linglong Kong; Wulong Liu; Boxing Chen (CoRR, 2023)

Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint. - Michael R. Metel (J. Mach. Learn. Res., 2023)

Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity. - Michael R. Metel; Peng Lu; Boxing Chen; Mehdi Rezagholizadeh; Ivan Kobyzev (EMNLP (Findings), 2024)

Batch-Max: Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression. - Michael R. Metel; Boxing Chen; Mehdi Rezagholizadeh (CoRR, 2024)

Modified K-means Algorithm with Local Optimality Guarantees. - Mingyi Li; Michael R. Metel; Akiko Takeda (CoRR, 2025)