Ran El-Yaniv

According to our database1, Ran El-Yaniv authored at least 103 papers between 1991 and 2024.

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

Timeline

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Bibliography

2024
Hierarchical Selective Classification.
CoRR, 2024

2023
Window-Based Distribution Shift Detection for Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Distribution Shift Detection for Deep Neural Networks.
CoRR, 2022

Which models are innately best at uncertainty estimation?
CoRR, 2022

TransBoost: Improving the Best ImageNet Performance using Deep Transduction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners.
CoRR, 2021

Train on Small, Play the Large: Scaling Up Board Games with AlphaZero and GNN.
CoRR, 2021

TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Disrupting Deep Uncertainty Estimation Without Harming Accuracy.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Net-DNF: Effective Deep Modeling of Tabular Data.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
HydroNets: Leveraging River Structure for Hydrologic Modeling.
CoRR, 2020

DNF-Net: A Neural Architecture for Tabular Data.
CoRR, 2020

BebopNet: Deep Neural Models for Personalized Jazz Improvisations.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
The Relationship Between Agnostic Selective Classification, Active Learning and the Disagreement Coefficient.
J. Mach. Learn. Res., 2019

Accurate Hydrologic Modeling Using Less Information.
CoRR, 2019

Improved Detection of Adversarial Attacks via Penetration Distortion Maximization.
CoRR, 2019

Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships.
CoRR, 2019

ML for Flood Forecasting at Scale.
CoRR, 2019

Deep Active Learning with a Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SelectiveNet: A Deep Neural Network with an Integrated Reject Option.
Proceedings of the 36th International Conference on Machine Learning, 2019

Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers.
Proceedings of the 7th International Conference on Learning Representations, 2019

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Boosting Uncertainty Estimation for Deep Neural Classifiers.
CoRR, 2018

Deep Anomaly Detection Using Geometric Transformations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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.
J. Mach. Learn. Res., 2017

Deep Active Learning over the Long Tail.
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

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.
J. Mach. Learn. Res., 2015

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

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.
J. Mach. Learn. Res., 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
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.
J. Mach. Learn. Res., 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 Recognit. Lett., 2008

Repairing self-confident active-transductive learners using systematic exploration.
Pattern Recognit. Lett., 2008

Large margin vs. large volume in transductive learning.
Mach. Learn., 2008

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

2006
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition.
J. Mach. Learn. Res., 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 Recognit. Lett., 2005

Correcting BLAST e-Values for Low-Complexity Segments.
J. Comput. Biol., 2005

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

2004
How to Better Use Expert Advice.
Mach. Learn., 2004

Online Choice of Active Learning Algorithms.
J. Mach. Learn. Res., 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.
J. Mach. Learn. Res., 2003

Resilient-optimal interactive consistency in constant time.
Distributed Comput., 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

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

On Online Learning of Decision Lists.
J. Mach. Learn. Res., 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

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

1994
On-line algorithms and financial decision making.
PhD thesis, 1994

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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