Naftali Tishby

According to our database1, Naftali Tishby authored at least 141 papers between 1988 and 2021.

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

Timeline

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Bibliography

2021
Detecting chaos in lineage-trees: A deep learning approach.
CoRR, 2021

Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems.
CoRR, 2021

Critical Slowing Down Near Topological Transitions in Rate-Distortion Problems.
Proceedings of the IEEE International Symposium on Information Theory, 2021

2020
Surprise response as a probe for compressed memory states.
PLoS Comput. Biol., 2020

Nonlinear Canonical Correlation Analysis: A Compressed Representation Approach.
Entropy, 2020

The Dual Information Bottleneck.
CoRR, 2020

Modeling the Effect of Driver's Eye Gaze Pattern Under Workload: Gaussian Mixture Approach.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019
Color Naming Reflects Both Perceptual Structure and Communicative Need.
Top. Cogn. Sci., 2019

Information Constrained Control Analysis of Eye Gaze Distribution Under Workload.
IEEE Trans. Hum. Mach. Syst., 2019

Information Constrained Control for Visual Detection of Important Areas.
Proceedings of the IEEE International Conference on Acoustics, 2019

Semantic categories of artifacts and animals reflect efficient coding.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Communicative need and color naming.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

Evolution and efficiency in color naming: The case of Nafaanra.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Efficient compression in color naming and its evolution.
Proc. Natl. Acad. Sci. USA, 2018

An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis.
CoRR, 2018

Efficient human-like semantic representations via the Information Bottleneck principle.
CoRR, 2018

Information-theoretic efficiency and semantic variation: The case of color naming.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2017
Efficient encoding of motion is mediated by gap junctions in the fly visual system.
PLoS Comput. Biol., 2017

Gaussian Lower Bound for the Information Bottleneck Limit.
J. Mach. Learn. Res., 2017

A General Memory-Bounded Learning Algorithm.
CoRR, 2017

A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes.
CoRR, 2017

Control Capacity of Partially Observable Dynamic Systems in Continuous Time.
CoRR, 2017

Opening the Black Box of Deep Neural Networks via Information.
CoRR, 2017

Mixing Complexity and its Applications to Neural Networks.
CoRR, 2017

2016
The Representation of Prediction Error in Auditory Cortex.
PLoS Comput. Biol., 2016

Memory controls time perception and intertemporal choices.
CoRR, 2016

Principled Option Learning in Markov Decision Processes.
CoRR, 2016

A Simple Model of Attentional Blink.
CoRR, 2016

Taming the Noise in Reinforcement Learning via Soft Updates.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Minimum-information LQG control part I: Memoryless controllers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Minimum-information LQG control Part II: Retentive controllers.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Information-Theoretic Bounded Rationality.
CoRR, 2015

Optimal Selective Attention in Reactive Agents.
CoRR, 2015

G-Learning: Taming the Noise in Reinforcement Learning via Soft Updates.
CoRR, 2015

Deep learning and the information bottleneck principle.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Cognitive workload and vocabulary sparseness: theory and practice.
Proceedings of the INTERSPEECH 2015, 2015

Past-future Information Bottleneck for linear feedback systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Control your information for better predictions.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Monte Carlo methods for exact & efficient solution of the generalized optimality equations.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Effective Model Representation by Information Bottleneck Principle.
IEEE Trans. Speech Audio Process., 2013

Distribution-dependent sample complexity of large margin learning.
J. Mach. Learn. Res., 2013

2012
Multi-instance learning with any hypothesis class.
J. Mach. Learn. Res., 2012

Sufficient Dimensionality Reduction with Irrelevant Statistics
CoRR, 2012

Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics
CoRR, 2012

Bounded Planning in Passive POMDPs.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Spectral Clustering on a Budget.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Detecting anomalies in people's trajectories using spectral graph analysis.
Comput. Vis. Image Underst., 2011

2010
Learning and generalization with the information bottleneck.
Theor. Comput. Sci., 2010

Stability and model selection in <i>k</i>-means clustering.
Mach. Learn., 2010

PAC-Bayesian Analysis of Co-clustering and Beyond.
J. Mach. Learn. Res., 2010

Reducing Label Complexity by Learning From Bags.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Tight Sample Complexity of Large-Margin Learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
The minimum information principle and its application to neural code analysis.
Proc. Natl. Acad. Sci. USA, 2009

PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Speaker recognition by Gaussian information bottleneck.
Proceedings of the INTERSPEECH 2009, 2009

Information bottleneck based age verification.
Proceedings of the INTERSPEECH 2009, 2009

Homogeneous Multi-Instance Learning with Arbitrary Dependence.
Proceedings of the COLT 2009, 2009

2008
Generalization from Observed to Unobserved Features by Clustering.
J. Mach. Learn. Res., 2008

On the Reliability of Clustering Stability in the Large Sample Regime.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Extracting Relevant Information from Samples.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Multi-classification by categorical features via clustering.
Proceedings of the Machine Learning, 2008

Model Selection and Stability in k-means Clustering.
Proceedings of the 21st Annual Conference on Learning Theory, 2008

2007
ProMateus - an open research approach to protein-binding sites analysis.
Nucleic Acids Res., 2007

Incorporating Prior Knowledge on Features into Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Euclidean Embedding of Co-occurrence Data.
J. Mach. Learn. Res., 2007

Cluster Stability for Finite Samples.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

The Information Bottleneck Revisited or How to Choose a Good Distortion Measure.
Proceedings of the IEEE International Symposium on Information Theory, 2007

2006
Multivariate Information Bottleneck.
Neural Comput., 2006

Information Bottleneck for Non Co-Occurrence Data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient representation as a design principle for neural coding and computation.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Embedding Heterogeneous Data Using Statistical Models.
Proceedings of the Proceedings, 2006

Large Margin Principles for Feature Selection.
Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005
Information Bottleneck for Gaussian Variables.
J. Mach. Learn. Res., 2005

Is Feature Selection Still Necessary?
Proceedings of the Subspace, 2005

Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Generalization in Clustering with Unobserved Features.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Query by Committee Made Real.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Extraction of relevant speech features using the information bottleneck method.
Proceedings of the INTERSPEECH 2005, 2005

2004
Stochastic computing with biomolecular automata.
Proc. Natl. Acad. Sci. USA, 2004

Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data.
J. Comput. Biol., 2004

The Minimum Information Principle for Discriminative Learning.
Proceedings of the UAI '04, 2004

Margin based feature selection - theory and algorithms.
Proceedings of the Machine Learning, 2004

Bayes and Tukey Meet at the Center Point.
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004

2003
Sufficient Dimensionality Reduction.
J. Mach. Learn. Res., 2003

Distributional Word Clusters vs. Words for Text Categorization.
J. Mach. Learn. Res., 2003

Discriminative Feature Selection via Multiclass Variable Memory Markov Model.
EURASIP J. Adv. Signal Process., 2003

Sufficient Dimensionality Reduction with Irrelevance Statistics.
Proceedings of the UAI '03, 2003

Efficient Data Representations That Preserve Information.
Proceedings of the Discovery Science, 6th International Conference, 2003

An Information Theoretic Tradeoff between Complexity and Accuracy.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003

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

Unsupervised document classification using sequential information maximization.
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

Margin Analysis of the LVQ Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Extracting Relevant Structures with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Sufficient Dimensionality Reduction - A novel Analysis Method.
Proceedings of the Machine Learning, 2002

Most Informative Dimension Reduction.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
Spotting Neural Spike Patterns Using an Adversary Background Model.
Neural Comput., 2001

Predictability, Complexity, and Learning.
Neural Comput., 2001

Markovian domain fingerprinting: statistical segmentation of protein sequences.
Bioinform., 2001

Multivariate Information Bottleneck.
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 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

Agglomerative Multivariate Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
The information bottleneck method
CoRR, 2000

Document clustering using word clusters via the information bottleneck method.
Proceedings of the SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2000

Data Clustering by Markovian Relaxation and the Information Bottleneck Method.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Universality and Individuality in a Neural Code.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Temporally Dependent Plasticity: An Information Theoretic Account.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Statistical Sufficiency for Classes in Empirical L<sub>2</sub> Spaces.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

1999
Agglomerative Information Bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Information Capacity and Robustness of Stochastic Neuron Models.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
The Hierarchical Hidden Markov Model: Analysis and Applications.
Mach. Learn., 1998

On the Learnability and Usage of Acyclic Probabilistic Finite Automata.
J. Comput. Syst. Sci., 1998

WebSuite: A Tool Suite for Harnessing Web Data.
Proceedings of the World Wide Web and Databases, 1998

Multi-Electrode Spike Sorting by Clustering Transfer Functions.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Synergy and Redundancy among Brain Cells of Behaving Monkeys.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences.
Proceedings of the 6th International Conference on Intelligent Systems for Molecular Biology (ISMB-98), Montréal, Québec, Canada, June 28, 1998

1997
Selective Sampling Using the Query by Committee Algorithm.
Mach. Learn., 1997

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

Analysis of sound textures in musical and machine sounds by means of higher order statistical features.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length.
Mach. Learn., 1996

Rigorous Learning Curve Bounds from Statistical Mechanics.
Mach. Learn., 1996

Influence of Frequency Modulating Jitter on Higher Order Moments of Sound Residual with Applications to Synthesis and Classification.
Proceedings of the 1996 International Computer Music Conference, 1996

1995
Clustering Musical Sounds Using Polyspectral Distance Measures.
Proceedings of the 1995 International Computer Music Conference, 1995

Beyond Word N-Grams.
Proceedings of the Third Workshop on Very Large Corpora, 1995

1994
Algebraic learning of statistical associations for language acquisition.
Comput. Speech Lang., 1994

Dynamical encoding of cursive handwriting.
Biol. Cybern., 1994

Stability and Likelihood of Views of Three Dimensional Objects.
Proceedings of the Theoretical Foundations of Computer Vision, 1994

Acoustic spectral estimation using higher order statistics.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

Learning Probabilistic Automata with Variable Memory Length.
Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, 1994

1993
Decoding Cursive Scripts.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

The Power of Amnesia.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

The Statistical Mechanics of k-Satisfaction.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Distributional Clustering of English Words.
Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics, 1993

1992
Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Information, Prediction, and Query by Committee.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Learning Curves in Large Neural Networks.
Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991

1990
A dynamical systems approach to speech processing.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
A Statistical Approach to Learning and Generalization in Layered Neural Networks.
Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989

1988
Nonlinear dynamical modeling of speech using neural networks.
Neural Networks, 1988

Information theoretic factorization of speaker and language in hidden Markov models, with application to speaker recognition.
Proceedings of the IEEE International Conference on Acoustics, 1988


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