Michael R. Metel

18 papers A* 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 — conf
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models.
EACL (Findings)
Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi
2026 J jnl
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models.
CoRR
Michael R. Metel, Yufei Cui, Boxing Chen, Prasanna Parthasarathi
2025 A* conf
Modified K-means Algorithm with Local Optimality Guarantees.
ICML
Mingyi Li, Michael R. Metel, Akiko Takeda
2025 J jnl
Modified K-means Algorithm with Local Optimality Guarantees.
CoRR
Mingyi Li, Michael R. Metel, Akiko Takeda
2024 J jnl
Batch-Max: Higher LLM Throughput using Larger Batch Sizes and KV Cache Compression.
CoRR
Michael R. Metel, Boxing Chen, Mehdi Rezagholizadeh
2024 — conf
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity.
EMNLP (Findings)
Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev
2024 J jnl
Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity.
CoRR
Michael R. Metel, Peng Lu, Boxing Chen, Mehdi Rezagholizadeh, Ivan Kobyzev
2023 J jnl
Mathematical Challenges in Deep Learning.
CoRR
Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen
2023 J jnl
Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint.
J. Mach. Learn. Res.
Michael R. Metel
2022 J jnl
Charging station optimization for balanced electric car sharing.
Discret. Appl. Math.
Antoine Deza, Kai Huang, Michael R. Metel
2022 J jnl
Perturbed Iterate SGD for Lipschitz Continuous Loss Functions.
J. Optim. Theory Appl.
Michael R. Metel, Akiko Takeda
2022 J jnl
Variants of SGD for Lipschitz Continuous Loss Functions in Low-Precision Environments.
CoRR
Michael R. Metel
2021 J jnl
Primal-dual subgradient method for constrained convex optimization problems.
Optim. Lett.
Michael R. Metel, Akiko Takeda
2021 J jnl
Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization.
J. Mach. Learn. Res.
Michael R. Metel, Akiko Takeda
2019 A* conf
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization.
ICML
Michael R. Metel, Akiko Takeda
2018 J jnl
Kelly Betting on Horse Races with Uncertainty in Probability Estimates.
Decis. Anal.
Michael R. Metel
2018 J jnl
Managing losses in exotic horse race wagering.
J. Oper. Res. Soc.
Antoine Deza, Kai Huang, Michael R. Metel
2014 J jnl
Chance Constrained Optimization for Targeted Internet Advertising.
CoRR
Antoine Deza, Kai Huang, Michael R. Metel