Hanbaek Lyu

14 papers · 2020–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (22) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🔬 Deep Specialist (11)

🏆 Keyword Champion (2) 🧬 Topic Evolution 🗃️ Keyword Collector (70) 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 💎 Century Club · Bronze

Venues

ICML (8) JMLR (5) NeurIPS (1)

Top co-authors

Deanna Needell (4) Laura Balzano (3) Dohyun Kwon (2) Yuchen Li (2) Joowon Lee (2) Weixin Yao (2) David Clancy Jr. (1) Ahmet Alacaoglu (1) David Sivakoff (1) Christopher Strohmeier (1)

Research topics

Machine Learning (14) Optimization & Theory · Machine Learning (14) Mathematics & Optimization (11) Optimization (11) Core Methods (6) Mathematics (3) Learning Types (2) Data Science & Analytics (1) Deep Learning (1) Methods (1) Optimization & Theory · Deep Learning (1) Probability (1)

Keywords

non-convex optimization (4) stationary point (4) dictionary learning (3) markov chain monte carlo (3) feature extraction (2) markov chain (2) complexity (2) convergence rate (2) non-negative matrix factorization (2) non-convex (2) block coordinate descent (2) stochastic optimization (2) tensor decomposition (1) constrained optimization (1) convergence analysis (1) global convergence (1) online learning (1) wasserstein distance (1) graph theory (1) neural implementation (1)

Papers

Convergence and complexity of block majorization-minimization for constrained block-Riemannian optimization JMLR 2026 Linear convergence of Sinkhorn’s algorithm for generalized static Schrödinger bridge ICML 2025 Sample Complexity of Branch-length Estimation by Maximum Likelihood ICML 2025 Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms ICML 2024 On The Complexity of First-Order Methods in Stochastic Bilevel Optimization ICML 2024 Stochastic Optimization with Arbitrary Recurrent Data Sampling ICML 2024 Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates JMLR 2024 Supervised Matrix Factorization: Local Landscape Analysis and Applications ICML 2024 Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023 Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023 Exponentially Convergent Algorithms for Supervised Matrix Factorization NeurIPS 2023 Sampling random graph homomorphisms and applications to network data analysis JMLR 2023 Online Nonnegative CP-dictionary Learning for Markovian Data JMLR 2022 Online matrix factorization for Markovian data and applications to Network Dictionary Learning JMLR 2020