Koby Crammer
49 papers · 2001–2022 · 12 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 25 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Koby Crammer?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
19 papers whose co-authors appear nowhere else under this name
Weighted Training for Cross-Task Learning
ICLR 2022
Convex Multi-Task Learning by Clustering
AISTATS 2015
Linear Multi-Resource Allocation with Semi-Bandit Feedback
NeurIPS 2015
Doubly Aggressive Selective Sampling Algorithms for Classification
AISTATS 2014
Learning Multiple Tasks in Parallel with a Shared Annotator
NeurIPS 2014
Robust Forward Algorithms via PAC-Bayes and Laplace Distributions
AISTATS 2014
Hartigan’s K-Means Versus Lloyd’s K-Means — Is It Time for a Change?
IJCAI 2013
Multi Class Learning with Individual Sparsity
IJCAI 2013
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
Learning Multiple Tasks using Shared Hypotheses
NeurIPS 2012
Metric Learning for Graph-Based Domain Adaptation
COLING 2012
Volume Regularization for Binary Classification
NeurIPS 2012
Learning Better Data Representation Using Inference-Driven Metric Learning
ACL 2010
Learning via Gaussian Herding
NeurIPS 2010
New Adaptive Algorithms for Online Classification
NeurIPS 2010
Loss-Sensitive Discriminative Training of Machine Transliteration Models
NAACL 2009
Advanced Online Learning for Natural Language Processing
ACL 2008
One-Class Clustering in the Text Domain
EMNLP 2008