Ran El-Yaniv

According to our database1, Ran El-Yaniv authored at least 93 papers between 1991 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of two.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Bibliography

2018
Deep Anomaly Detection Using Geometric Transformations.
CoRR, 2018

Boosting Uncertainty Estimation for Deep Neural Classifiers.
CoRR, 2018

Growth-Optimal Portfolio Selection under CVaR Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.
Journal of Machine Learning Research, 2017

Deep Active Learning over the Long Tail.
CoRR, 2017

Growth-Optimal Portfolio Selection under CVaR Constraints.
CoRR, 2017

Multi-Objective Non-parametric Sequential Prediction.
CoRR, 2017

The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient.
CoRR, 2017

Selective Classification for Deep Neural Networks.
CoRR, 2017

The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression.
CoRR, 2017

Multi-Objective Non-parametric Sequential Prediction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Selective Classification for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Online Learning of Commission Avoidant Portfolio Ensembles.
CoRR, 2016

Online Learning of Portfolio Ensembles with Sector Exposure Regularization.
CoRR, 2016

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations.
CoRR, 2016

Deep Learning of Robotic Tasks using Strong and Weak Human Supervision.
CoRR, 2016

Estimating types in binaries using predictive modeling.
Proceedings of the 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, 2016

Binarized Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
A compression technique for analyzing disagreement-based active learning.
Journal of Machine Learning Research, 2015

Agnostic Pointwise-Competitive Selective Classification.
J. Artif. Intell. Res., 2015

Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests.
CoRR, 2015

2014
A Compression Technique for Analyzing Disagreement-Based Active Learning.
CoRR, 2014

Transductive Rademacher Complexity and its Applications.
CoRR, 2014

Concept Drift Detection Through Resampling.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Semantic Sort: A Supervised Approach to Personalized Semantic Relatedness.
CoRR, 2013

2012
Active Learning via Perfect Selective Classification.
Journal of Machine Learning Research, 2012

Autoregressive short-term prediction of turning points using support vector regression
CoRR, 2012

Supervised Learning of Semantic Relatedness.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Pointwise Tracking the Optimal Regression Function.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
On Prediction Using Variable Order Markov Models
CoRR, 2011

Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms
CoRR, 2011

Can We Learn to Beat the Best Stock
CoRR, 2011

Agnostic Selective Classification.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Selective Prediction of Financial Trends with Hidden Markov Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
On the Foundations of Noise-free Selective Classification.
Journal of Machine Learning Research, 2010

On the Foundations of Adversarial Single-Class Classification
CoRR, 2010

Hierarchical Multiclass Decompositions with Application to Authorship Determination
CoRR, 2010

2009
Transductive Rademacher Complexity and its Applications.
J. Artif. Intell. Res., 2009

2008
Better multiclass classification via a margin-optimized single binary problem.
Pattern Recognition Letters, 2008

Repairing self-confident active-transductive learners using systematic exploration.
Pattern Recognition Letters, 2008

Large margin vs. large volume in transductive learning.
Machine Learning, 2008

Large Margin vs. Large Volume in Transductive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007
Size-density spectra and their application to image classification.
Pattern Recognition, 2007

Transductive Rademacher Complexity and Its Applications.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition.
Journal of Machine Learning Research, 2006

Optimal Single-Class Classification Strategies.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Stable Transductive Learning.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Effective transductive learning via objective model selection.
Pattern Recognition Letters, 2005

Correcting BLAST e-Values for Low-Complexity Segments.
Journal of Computational Biology, 2005

Multi-way distributional clustering via pairwise interactions.
Proceedings of the Machine Learning, 2005

2004
How to Better Use Expert Advice.
Machine Learning, 2004

Online Choice of Active Learning Algorithms.
Journal of Machine Learning Research, 2004

Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms.
J. Artif. Intell. Res., 2004

Can We Learn to Beat the Best Stock.
J. Artif. Intell. Res., 2004

On Prediction Using Variable Order Markov Models.
J. Artif. Intell. Res., 2004

2003
Distributional Word Clusters vs. Words for Text Categorization.
Journal of Machine Learning Research, 2003

Resilient-optimal interactive consistency in constant time.
Distributed Computing, 2003

Towards Behaviometric Security Systems: Learning to Identify a Typist.
Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

Error Bounds for Transductive Learning via Compression and Clustering.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Can We Learn to Beat the Best Stock.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Online Choice of Active Learning Algorithms.
Proceedings of the Machine Learning, 2003

2002
A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles.
Machine Learning, 2002

On Online Learning of Decision Lists.
Journal of Machine Learning Research, 2002

Synthesizing Sound Textures through Wavelet Tree Learning.
IEEE Computer Graphics and Applications, 2002

On the Competitive Theory and Practice of Online List Accessing Algorithms.
Algorithmica, 2002

Variance Optimized Bagging.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Texture Mixing and Texture Movie Synthesis Using Statistical Learning.
IEEE Trans. Vis. Comput. Graph., 2001

Optimal Search and One-Way Trading Online Algorithms.
Algorithmica, 2001

On Feature Distributional Clustering for Text Categorization.
Proceedings of the SIGIR 2001: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2001

Iterative Double Clustering for Unsupervised and Semi-Supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Iterative Double Clustering for Unsupervised and Semi-supervised Learning.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
On the Competitive Theory and Practice of Portfolio Selection (Extended Abstract).
Proceedings of the LATIN 2000: Theoretical Informatics, 2000

Localized Boosting.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999
On Randomization in On-Line Computation.
Inf. Comput., 1999

Competitive Optimal On-Line Leasing.
Algorithmica, 1999

Granular Synthesis of Sound Textures Using Statistical Learning.
Proceedings of the 1999 International Computer Music Conference, 1999

1998
Competitive Solutions for Online Financial Prob.
ACM Comput. Surv., 1998

Universal Classification Applied to Musical Sequences.
Proceedings of the 1998 International Computer Music Conference, 1998

Online computation and competitive analysis.
Cambridge University Press, ISBN: 978-0-521-56392-5, 1998

1997
Nearly Optimal Competitive Online Replacement Policies.
Math. Oper. Res., 1997

Online List Accessing Algorithms and Their Applications: Recent Empirical Evidence.
Proceedings of the Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, 1997

Agnostic Classification of Markovian Sequences.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

On Ranomization in Online Computation.
Proceedings of the Twelfth Annual IEEE Conference on Computational Complexity, 1997

1996
Competitive Solutions for On-line Financial Problems.
Proceedings of the Online Algorithms, 1996

1995
Geometric Two-Server Algorithms.
Inf. Process. Lett., 1995

The Statistical Adversary Allows Optimal Money-Making Trading Strategies.
Proceedings of the Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 1995

1993
The Mortgage Problem.
Proceedings of the Second Israel Symposium on Theory of Computing Systems, 1993

1992
Memory Adaptive Self-Stabilizing Protocols (Extended Abstract).
Proceedings of the Distributed Algorithms, 6th International Workshop, 1992

Competitive Analysis of Financial Games
Proceedings of the 33rd Annual Symposium on Foundations of Computer Science, 1992

1991
More on the Power of Random Walks: Uniform Self-Stabilizing Randomized Algorithms (Preliminary Report).
Proceedings of the Distributed Algorithms, 5th International Workshop, 1991


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