← Authors

Ian En-Hsu Yen

20 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (33) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (90) πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

NIPS (8) ICML (5) AISTATS (4) EMNLP (1) ICLR (1) NAACL (1)

Top co-authors

Pradeep Ravikumar (8) Pradeep K Ravikumar (7) Kai Zhong (5) Inderjit S Dhillon (5) Inderjit Dhillon (4) Shou-De Lin (4) Xiangru Huang (3) Wei-Cheng Lee (2) Ruohan Zhang (2) Lingfei Wu (2)

Keywords

convex optimization (4) augmented lagrangian (4) sparse optimization (3) coordinate descent (3) dual decomposition (2) active set (2) atomic norm regularization (2) block coordinate descent (2) multilabel classification (2) sparse learning (2) random feature (2) multiple sequence alignment (2) sparse regression (2) primal-dual optimization (2) multiclass classification (2) l1 regularization (2) structured prediction (2) empirical risk minimization (2) support vector machine (2) kernel methods (2)

Papers

MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding ICLR 2025
Rethinking Network Pruning – under the Pre-train and Fine-tune Paradigm NAACL 2021
Loss Decomposition for Fast Learning in Large Output Spaces ICML 2018
Representer Point Selection for Explaining Deep Neural Networks NIPS 2018
Word Mover’s Embedding: From Word2Vec to Document Embedding EMNLP 2018
Random Warping Series: A Random Features Method for Time-Series Embedding AISTATS 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NIPS 2018
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain AISTATS 2017
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition AISTATS 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
Latent Feature Lasso ICML 2017
Dual Decomposed Learning with Factorwise Oracle for Structural SVM of Large Output Domain NIPS 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery ICML 2016
PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation AISTATS 2016
A Dual Augmented Block Minimization Framework for Learning with Limited Memory NIPS 2015
Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NIPS 2015
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NIPS 2014
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NIPS 2014
Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NIPS 2014