Ran El-Yaniv

发表

Deep Active Learning over the Long Tail pdf

Ran El-Yaniv, Yonatan Geifman, Ran El-Yaniv, 2017, ArXiv.

Online computation and competitive analysis

Allan Borodin, Ran El-Yaniv, A. Borodin, 1998 .

Online Learning of Commission Avoidant Portfolio Ensembles pdf

Ran El-Yaniv, Guy Uziel, Ran El-Yaniv, 2016, ArXiv.

Selective Classification for Deep Neural Networks

Ran El-Yaniv, Yonatan Geifman, Ran El-Yaniv, 2017, NIPS.

Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs

Ran El-Yaniv, Guy Uziel, Ran El-Yaniv, 2020, AISTATS.

On Randomization in On-Line Computation

Allan Borodin, Ran El-Yaniv, A. Borodin, 1999, Inf. Comput..

Improved Detection of Adversarial Attacks via Penetration Distortion Maximization pdf

Ran El-Yaniv, Gal Elidan, Shai Rozenberg, 2019, ArXiv.

Synthesizing Sound Textures through Wavelet Tree Learning

Dani Lischinski, Ran El-Yaniv, Michael Werman, 2002, IEEE Computer Graphics and Applications.

Deep Active Learning with a Neural Architecture Search

Ran El-Yaniv, Yonatan Geifman, Ran El-Yaniv, 2018, NeurIPS.

Memory Adaptive Self-Stabilizing Protocols (Extended Abstract)

Ran El-Yaniv, Vassos Hadzilacos, Efthymios Anagnostou, 1992, WDAG.

Synthesizing Sound Textures through

Ran El-Yaniv, Michael Werman, Shlomo Dubnov, 2002 .

Effective transductive learning via objective model selection

Ran El-Yaniv, Leonid Gerzon, 2005, Pattern Recognit. Lett..

Boosting Uncertainty Estimation for Deep Neural Classifiers pdf

Ran El-Yaniv, Yonatan Geifman, Guy Uziel, 2018, ArXiv.

On the Foundations of Adversarial Single-Class Classification pdf

Ran El-Yaniv, Mordechai Nisenson, Ran El-Yaniv, 2010, ArXiv.

Autoregressive short-term prediction of turning points using support vector regression pdf

Ran El-Yaniv, Alexandra Faynburd, Ran El-Yaniv, 2012, ArXiv.

A compression technique for analyzing disagreement-based active learning pdf

Ran El-Yaniv, Steve Hanneke, Yair Wiener, 2014, J. Mach. Learn. Res..

Localized Boosting

Ran El-Yaniv, Shai Ben-David, Ron Meir, 2000, COLT.

The statistical adversary allows optimal money-making trading strategies

Ran El-Yaniv, Frank Thomson Leighton, Jeremy R. Cooperstock, 1995, SODA '95.

On Prediction Using Variable Order Markov Models

Ran El-Yaniv, Golan Yona, Ron Begleiter, 2004, J. Artif. Intell. Res..

Competitive Solutions for On-line Financial Problems

Ran El-Yaniv, Ran El-Yaniv, 1996, Online Algorithms.

The mortgage problem

Ran El-Yaniv, Richard M. Karp, 1993, [1993] The 2nd Israel Symposium on Theory and Computing Systems.

Resilient-optimal interactive consistency in constant time

Ran El-Yaniv, Michael Ben-Or, M. Ben-Or, 2003, Distributed Computing.

Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition

Ran El-Yaniv, Ron Begleiter, Ran El-Yaniv, 2006, J. Mach. Learn. Res..

Granular Synthesis of Sound Textures Using Statistical Learning

Dani Lischinski, Ran El-Yaniv, Michael Werman, 1999, ICMC.

Iterative Double Clustering for Unsupervised and Semi-supervised Learning

Ran El-Yaniv, Oren Souroujon, Ran El-Yaniv, 2001, ECML.

Large margin vs. large volume in transductive learning

Ran El-Yaniv, Vladimir Vapnik, Dmitry Pechyony, 2008, Machine Learning.

Hierarchical Multiclass Decompositions with Application to Authorship Determination pdf

Ran El-Yaniv, Noam Etzion-Rosenberg, Ran El-Yaniv, 2010, ArXiv.

Multi-way distributional clustering via pairwise interactions

Ran El-Yaniv, Andrew McCallum, Ron Bekkerman, 2005, ICML.

On the Version Space Compression Set Size and Its Applications

Ran El-Yaniv, Yair Wiener, Ran El-Yaniv, 2015 .

Size-density spectra and their application to image classification

Ran El-Yaniv, Ron Meir, Igor Zingman, 2007, Pattern Recognit..

Online Learning of Portfolio Ensembles with Sector Exposure Regularization pdf

Ran El-Yaniv, Guy Uziel, 2016, ArXiv.

Competitive analysis of financial games

Ran El-Yaniv, Amos Fiat, Richard M. Karp, 1992, Proceedings., 33rd Annual Symposium on Foundations of Computer Science.

Toward Deep Reinforcement Learning Without a Simulator: An Autonomous Steering Example

Ran El-Yaniv, Bar Hilleli, Ran El-Yaniv, 2018, AAAI.

HydroNets: Leveraging River Structure for Hydrologic Modeling pdf

Ran El-Yaniv, Gal Elidan, Frederik Kratzert, 2020, ArXiv.

DNF-Net: A Neural Architecture for Tabular Data pdf

Ran El-Yaniv, Gal Elidan, Liran Katzir, 2020, ArXiv.

Large Margin vs. Large Volume in Transductive Learning

Ran El-Yaniv, Vladimir Vapnik, Dmitry Pechyony, 2008, ECML/PKDD.

Towards Behaviometric Security Systems: Learning to Identify a Typist

Ran El-Yaniv, Ron Meir, Mordechai Nisenson, 2003, PKDD.

Semantic Sort: A Supervised Approach to Personalized Semantic Relatedness pdf

Ran El-Yaniv, David Yanay, 2013, ArXiv.

How Google's Flood Forecasting Initiative Leverages Deep Learning Hydrologic Models

Ran El-Yaniv, Gal Elidan, Zvika Ben-Haim, 2020 .

How to Better Use Expert Advice

Ran El-Yaniv, Steven S. Seiden, Rani Yaroshinsky, 2004, Machine Learning.

A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles

Ran El-Yaniv, Shlomo Dubnov, Naftali Tishby, 2004, Machine Learning.

More on the Power of Random Walks: Uniform Self-Stabilizing Randomized Algorithms (Preliminary Report)

Ran El-Yaniv, Efthymios Anagnostou, 1991, WDAG.

On the Competitive Theory and Practice of Portfolio Selection (Extended Abstract)

Allan Borodin, Ran El-Yaniv, Vincent Gogan, 2000, LATIN.

Selective Prediction of Financial Trends with Hidden Markov Models

Ran El-Yaniv, Dmitry Pidan, Ran El-Yaniv, 2011, NIPS.

Active Learning via Perfect Selective Classification

Ran El-Yaniv, Yair Wiener, Ran El-Yaniv, 2012, J. Mach. Learn. Res..

Competitive Optimal On-Line Leasing

Ran El-Yaniv, Nathan Linial, Ron Kaniel, 1999, Algorithmica.

Stable Transductive Learning

Ran El-Yaniv, Dmitry Pechyony, Dmitry Pechyony, 2006, COLT.

The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient pdf

Ran El-Yaniv, Roei Gelbhart, Ran El-Yaniv, 2017, J. Mach. Learn. Res..

BebopNet: Deep Neural Models for Personalized Jazz Improvisations

Ran El-Yaniv, Nadav Bhonker, Shunit Haviv Hakimi, 2020, ISMIR.

Growth-Optimal Portfolio Selection under CVaR Constraints

Ran El-Yaniv, Guy Uziel, Ran El-Yaniv, 2017, AISTATS.

Optimal Search and One-Way Trading Online Algorithms

Ran El-Yaniv, Amos Fiat, Richard M. Karp, 2001, Algorithmica.

Smooth Online Learning of Expert Advice

Ran El-Yaniv, Rani Yaroshinsky, 2007 .

Binarized Neural Networks

Ran El-Yaniv, Yoshua Bengio, Daniel Soudry, 2016, ArXiv.

Agnostic Classification of Markovian Sequences

Ran El-Yaniv, Naftali Tishby, Shai Fine, 1997, NIPS.

Variance Optimized Bagging

Ran El-Yaniv, Ron Meir, Philip Derbeko, 2002, ECML.

Binarized Neural Networks

Ran El-Yaniv, Yoshua Bengio, Daniel Soudry, 2016, NIPS.

Multi-Objective Non-parametric Sequential Prediction

Ran El-Yaniv, Guy Uziel, Ran El-Yaniv, 2017, NIPS.

Estimating types in binaries using predictive modeling

Ran El-Yaniv, Eran Yahav, Omer Katz, 2016, POPL.

Online Choice of Active Learning Algorithms

Ran El-Yaniv, Yoram Baram, Kobi Luz, 2003, J. Mach. Learn. Res..

Deep Learning of Robotic Tasks without a Simulator using Strong and Weak Human Supervision

Ran El-Yaniv, Bar Hilleli, Ran El-Yaniv, 2016 .

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

Maayan Harel, Shie Mannor, Ran El-Yaniv, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Pointwise Tracking the Optimal Regression Function

Ran El-Yaniv, Yair Wiener, 2012, NIPS.

Correcting BLAST e-Values for Low-Complexity Segments

Ran El-Yaniv, Golan Yona, Aaron Birkland, 2005, J. Comput. Biol..

SelectiveNet: A Deep Neural Network with an Integrated Reject Option

Ran El-Yaniv, Yonatan Geifman, Ran El-Yaniv, 2019, ICML.

On randomization in online computation

Allan Borodin, Ran El-Yaniv, A. Borodin, 1997, Proceedings of Computational Complexity. Twelfth Annual IEEE Conference.

Nearly Optimal Competitive Online Replacement Policies

Ran El-Yaniv, Richard M. Karp, R. Karp, 1997, Math. Oper. Res..

Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships pdf

Ran El-Yaniv, Gal Sadeh Kenigsfield, 2019, ICLR 2019.

Competitive solutions for online financial problems

Ran El-Yaniv, Ran El-Yaniv, 1998, CSUR.

Can We Learn to Beat the Best Stock

Allan Borodin, Ran El-Yaniv, Vincent Gogan, 2003, NIPS.

Optimal Single-Class Classification Strategies

Ran El-Yaniv, Mordechai Nisenson, Ran El-Yaniv, 2006, NIPS.

Error Bounds for Transductive Learning via Compression and Clustering

Ran El-Yaniv, Ron Meir, Philip Derbeko, 2003, NIPS.

Universal Classification Applied to Musical Sequences

Ran El-Yaniv, Shlomo Dubnov, Gérard Assayag, 1998, ICMC.

ML for Flood Forecasting at Scale pdf

Ami Wiesel, Ran El-Yaniv, Yossi Matias, 2019, ArXiv.

Distributional Word Clusters vs. Words for Text Categorization

Ran El-Yaniv, Naftali Tishby, Yoad Winter, 2003, J. Mach. Learn. Res..

Repairing self-confident active-transductive learners using systematic exploration

Ran El-Yaniv, Ron Begleiter, Dmitry Pechyony, 2008, Pattern Recognit. Lett..

On feature distributional clustering for text categorization

Ran El-Yaniv, Naftali Tishby, Yoad Winter, 2001, SIGIR '01.

Agnostic Pointwise-Competitive Selective Classification

Ran El-Yaniv, Yair Wiener, Ran El-Yaniv, 2015, J. Artif. Intell. Res..

Transductive Rademacher Complexity and Its Applications pdf

Ran El-Yaniv, Dmitry Pechyony, Dmitry Pechyony, 2007, COLT.

Accurate Hydrologic Modeling Using Less Information pdf

Ran El-Yaniv, Frederik Kratzert, Daniel Klotz, 2019, ArXiv.

On Online Learning of Decision Lists

Ran El-Yaniv, Ziv Nevo, 2002, J. Mach. Learn. Res..

Texture Mixing and Texture Movie Synthesis Using Statistical Learning

Dani Lischinski, Ran El-Yaniv, Michael Werman, 2001, IEEE Trans. Vis. Comput. Graph..

On the Competitive Theory and Practice of Online List Accessing Algorithms

Ran El-Yaniv, Ran Gilad-Bachrach, M. Reinstadtler, 2001, Algorithmica.

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations pdf

Ran El-Yaniv, Yoshua Bengio, Daniel Soudry, 2016, J. Mach. Learn. Res..

Deep Anomaly Detection Using Geometric Transformations

Ran El-Yaniv, Izhak Golan, Ran El-Yaniv, 2018, NeurIPS.

Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms pdf

Ran El-Yaniv, Ron Meir, Philip Derbeko, 2004, J. Artif. Intell. Res..

Online list accessing algorithms and their applications: recent empirical evidence

Ran El-Yaniv, Ran Gilad-Bachrach, 1997, SODA '97.

Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation

Ran El-Yaniv, Gregory Shakhnarovich, Yoram Baram, 2001, ICML.

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering pdf

Ran El-Yaniv, Yair Feldman, Ran El-Yaniv, 2019, ACL.

Transductive Rademacher Complexity and Its Applications

Ran El-Yaniv, Dmitry Pechyony, 2007, COLT.

Supervised Learning of Semantic Relatedness

Ran El-Yaniv, David Yanay, 2012, ECML/PKDD.

Deep Learning of Robotic Tasks using Strong and Weak Human Supervision pdf

Ran El-Yaniv, Bar Hilleli, Ran El-Yaniv, 2016, ArXiv.

The Prediction Advantage: A Universally Meaningful Performance Measure for Classification and Regression pdf

Ran El-Yaniv, Yonatan Geifman, Yair Wiener, 2017, ArXiv.

Agnostic Selective Classification

Ran El-Yaniv, Yair Wiener, Ran El-Yaniv, 2011, NIPS.

Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers

Ran El-Yaniv, Yonatan Geifman, Guy Uziel, 2018, ICLR.

Disrupting Deep Uncertainty Estimation Without Harming Accuracy pdf

Ran El-Yaniv, Ido Galil, 2021, ArXiv.

Net-DNF: Effective Deep Modeling of Tabular Data

Ran El-Yaniv, Gal Elidan, Liran Katzir, 2021, ICLR.

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

Ran El-Yaniv, Shai Ben-Assayag, Ran El-Yaniv, 2021, ArXiv.

TranstextNet: Transducing Text for Recognizing Unseen Visual Relationships

Ran El-Yaniv, Gal Sadeh Kenigsfield, 2021, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Deep Active Learning

Ran El-Yaniv, Yonatan Geifman, Ran El-Yaniv, 2018 .

On-line algorithms and financial decision-making

Allan Borodin, Ran El-Yaniv, 1994 .

Synthesis of Sound Textures by Learning and Resampling of Wavelet Trees

Dani Lischinski, Ran El-Yaniv, Michael Werman, .