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Koby Crammer

48 papers · 2001–2022 · 12 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+14 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (23) 🌍 Conference Polyglot (12)
🌍 Conference Polyglot (12) πŸƒ Academic Marathon (21) 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (7) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion 🌱 Topic Pioneer πŸš€ Conference Pioneer πŸ’Ž Century Club (48) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (82) πŸ”₯ Unstoppable (6) ⚑ Prolific Year (5)

Conferences

NIPS (13) JMLR (8) AISTATS (7) EMNLP (5) ACL (4) NAACL (3) ICML (2) IJCAI (2) ACML (1) COLING (1) COLT (1) ICLR (1)

Top co-authors

Fernando Pereira (7) Mark Dredze (7) Edward Moroshko (4) Alex Kulesza (4) Yoram Singer (4) Jennifer Wortman (3) Shie Mannor (3) Avihai Mejer (3) Peter Bartlett (2) Yevgeny Seldin (2)

Keywords

online learning (18) multi-armed bandit (5) binary classification (5) regret bound (5) domain adaptation (5) support vector machine (4) transfer learning (4) mistake bound (4) adversarial learning (3) confidence-weighted learning (3) multiclass classification (3) multi-task learning (3) sentiment classification (3) convex optimization (3) multi-source learning (2) stochastic gradient descent (2) active learning (2) margin maximization (2) margin-based learning (2) classification (2)

Papers

Weighted Training for Cross-Task Learning ICLR 2022 Efficient Loss-Based Decoding on Graphs for Extreme Classification NIPS 2018 Rotting Bandits NIPS 2017 Convex Multi-Task Learning by Clustering AISTATS 2015 Linear Multi-Resource Allocation with Semi-Bandit Feedback NIPS 2015 Second-Order Non-Stationary Online Learning for Regression JMLR 2015 Robust Forward Algorithms via PAC-Bayes and Laplace Distributions AISTATS 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 Concept Drift Detection Through Resampling ICML 2014 Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014 Selective Sampling with Drift AISTATS 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NIPS 2014 Multi Class Learning with Individual Sparsity IJCAI 2013 Open Problem: Adversarial Multiarmed Bandits with Limited Advice COLT 2013 A Last-Step Regression Algorithm for Non-Stationary Online Learning AISTATS 2013 Hartigan’s K-Means Versus Lloyd’s K-Means β€” Is It Time for a Change? IJCAI 2013 Are You Sure? Confidence in Prediction of Dependency Tree Edges NAACL 2012 Volume Regularization for Binary Classification NIPS 2012 Learning Multiple Tasks using Shared Hypotheses NIPS 2012 Confidence-Weighted Linear Classification for Text Categorization JMLR 2012 Metric Learning for Graph-Based Domain Adaptation COLING 2012 More Is Better: Large Scale Partially-supervised Sentiment Classification ACML 2012 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training JMLR 2012 Training Dependency Parser Using Light Feedback NAACL 2012 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 New Adaptive Algorithms for Online Classification NIPS 2010 Learning via Gaussian Herding NIPS 2010 Learning Better Data Representation Using Inference-Driven Metric Learning ACL 2010 Confidence in Structured-Prediction Using Confidence-Weighted Models EMNLP 2010 Adaptive Regularization of Weight Vectors NIPS 2009 Multi-Class Confidence Weighted Algorithms EMNLP 2009 Loss-Sensitive Discriminative Training of Machine Transliteration Models NAACL 2009 Active Learning with Confidence ACL 2008 Online Methods for Multi-Domain Learning and Adaptation EMNLP 2008 One-Class Clustering in the Text Domain EMNLP 2008 Advanced Online Learning for Natural Language Processing ACL 2008 Learning from Multiple Sources JMLR 2008 Exact Convex Confidence-Weighted Learning NIPS 2008 Learning Bounds for Domain Adaptation NIPS 2007 Online Passive-Aggressive Algorithms JMLR 2006 Learning from Multiple Sources NIPS 2006 Analysis of Representations for Domain Adaptation NIPS 2006 Flexible Text Segmentation with Structured Multilabel Classification EMNLP 2005 Online Large-Margin Training of Dependency Parsers ACL 2005 Ultraconservative Online Algorithms for Multiclass Problems JMLR 2003 A Family of Additive Online Algorithms for Category Ranking JMLR 2003 On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines JMLR 2001