Michael R. Metel

5 papers · 2021–2026 · 4 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12)

Venues

JMLR (2) EACL (1) EMNLP (1) ICML (1)

Top co-authors

Akiko Takeda (2) Boxing Chen (2) Mingyi Li (1) Mehdi Rezagholizadeh (1) Prasanna Parthasarathi (1) Peng Lu (1) Ivan Kobyzev (1) Yufei CUI (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (5) Deep Learning (3) Artificial Intelligence (2) Mathematics & Optimization (2) Core AI (2) Optimization (2) Optimization & Theory · Deep Learning (2) Data Science & Analytics (1) Application Areas (1) Applications (1) Architectures (1)

Keywords

constrained optimization (2) large language model (2) non-convex optimization (1) bregman divergence (1) sparse optimization (1) lipschitz continuity (1) proximal gradient method (1) k-means (1) convergence guarantee (1) randomized smoothing (1) stationary point (1) context length (1) sparse training (1) inference acceleration (1) kv cache (1) speculative decoding (1) model efficiency (1) cosine similarity (1) clustering loss (1) group l0-norm (1)

Papers

Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models EACL 2026 Modified K-means Algorithm with Local Optimality Guarantees ICML 2025 Draft on the Fly: Adaptive Self-Speculative Decoding using Cosine Similarity EMNLP 2024 Sparse Training with Lipschitz Continuous Loss Functions and a Weighted Group L0-norm Constraint JMLR 2023 Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization JMLR 2021