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Yoram Singer

32 papers · 2000–2022 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer πŸƒ Academic Marathon (22) πŸ—ΊοΈ Taxonomy Completionist (22) 🌟 Keyword Trendsetter Combo (8) πŸ”¬ Deep Specialist (14) 🌱 Topic Pioneer πŸ† Grand Slam πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (62) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ❓ The Questioner πŸ’Ž Century Club (32) πŸ”₯ Unstoppable (5)

Conferences

JMLR (14) NIPS (8) ICML (4) ICLR (2) AAAI (1) ALT (1) EMNLP (1) NAACL (1)

Top co-authors

Shai Shalev-shwartz (6) Samy Bengio (4) Ofer Dekel (4) Koby Crammer (4) Moritz Hardt (2) Yonatan Amit (2) Chiyuan Zhang (2) John Duchi (2) Vineet Gupta (2) Seungyeon Kim (2)

Keywords

online learning (10) multiclass classification (5) gradient descent (5) text categorization (3) collaborative filtering (3) support vector machine (3) sparse optimization (2) matrix completion (2) empirical loss minimization (2) mistake bound model (2) learning to rank (2) image classification (2) binary classification (2) stochastic gradient descent (2) convex optimization (2) simultaneous projections (2) stochastic optimization (2) multi-task learning (2) metric learning (2) multi-class classification (2)

Papers

Are All Layers Created Equal? JMLR 2022
Exponentiated Gradient Meets Gradient Descent ALT 2020
Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization ICLR 2020
Memory Efficient Adaptive Optimization NIPS 2019
Learning a neural response metric for retinal prosthesis ICLR 2018
The Well-Tempered Lasso ICML 2018
Shampoo: Preconditioned Stochastic Tensor Optimization ICML 2018
LLORMA: Local Low-Rank Matrix Approximation JMLR 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NIPS 2016
Train faster, generalize better: Stability of stochastic gradient descent ICML 2016
Local Low-Rank Matrix Approximation ICML 2013
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization JMLR 2011
Entire Relaxation Path for Maximum Entropy Problems EMNLP 2011
Efficient Learning using Forward-Backward Splitting NIPS 2009
Group Sparse Coding NIPS 2009
Efficient Online and Batch Learning Using Forward Backward Splitting JMLR 2009
Online Learning of Complex Prediction Problems Using Simultaneous Projections JMLR 2008
Online Learning of Multiple Tasks with a Shared Loss JMLR 2007
Online Classification for Complex Problems Using Simultaneous Projections NIPS 2006
Convex Repeated Games and Fenchel Duality NIPS 2006
Image Retrieval and Classification Using Local Distance Functions NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Online Passive-Aggressive Algorithms JMLR 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006
Smooth Ξ΅-Insensitive Regression by Loss Symmetrization JMLR 2005
An Efficient Boosting Algorithm for Combining Preferences JMLR 2003
A Family of Additive Online Algorithms for Category Ranking JMLR 2003
Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003
Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network NAACL 2003
On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000