Naftali Tishby

Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby: Multivariate Information Bottleneck. CoRR abs/1301.2270 (2013)

Roy Fox, Naftali Tishby: Bounded Planning in Passive POMDPs. ICML 2012

Sivan Sabato, Nati Srebro, Naftali Tishby: Characterizing the Sample Complexity of Large-Margin Learning With Second-Order Statistics. CoRR abs/1204.1276 (2012)

Amir Globerson, Naftali Tishby: The Minimum Information Principle for Discriminative Learning. CoRR abs/1207.4110 (2012)

Amir Globerson, Gal Chechik, Naftali Tishby: Sufficient Dimensionality Reduction with Irrelevant Statistics. CoRR abs/1212.2483 (2012)

Simone Calderara, Uri Heinemann, Andrea Prati, Rita Cucchiara, Naftali Tishby: Detecting anomalies in people's trajectories using spectral graph analysis. Computer Vision and Image Understanding 115(8): 1099-1111 (2011)

Ohad Shamir, Naftali Tishby: Spectral Clustering on a Budget. Journal of Machine Learning Research - Proceedings Track 15: 661-669 (2011)

Sivan Sabato, Naftali Tishby: Multi-Instance Learning with Any Hypothesis Class. CoRR abs/1107.2021 (2011)

Sivan Sabato, Nathan Srebro, Naftali Tishby: Reducing Label Complexity by Learning From Bags. Journal of Machine Learning Research - Proceedings Track 9: 685-692 (2010)

Yevgeny Seldin, Naftali Tishby: PAC-Bayesian Analysis of Co-clustering and Beyond. Journal of Machine Learning Research 11: 3595-3646 (2010)

Ohad Shamir, Naftali Tishby: Stability and model selection in k-means clustering. Machine Learning 80(2-3): 213-243 (2010)

Ohad Shamir, Sivan Sabato, Naftali Tishby: Learning and generalization with the information bottleneck. Theor. Comput. Sci. 411(29-30): 2696-2711 (2010)

Sivan Sabato, Nathan Srebro, Naftali Tishby: Tight Sample Complexity of Large-Margin Learning. NIPS 2010: 2038-2046

Sivan Sabato, Nathan Srebro, Naftali Tishby: Tight Sample Complexity of Large-Margin Learning. CoRR abs/1011.5053 (2010)

Yevgeny Seldin, Naftali Tishby: PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering. Journal of Machine Learning Research - Proceedings Track 5: 472-479 (2009)

Sivan Sabato, Naftali Tishby: Homogeneous Multi-Instance Learning with Arbitrary Dependence. COLT 2009

Ron M. Hecht, Omer Hezroni, Amit Manna, Gil Dobry, Yaniv Zigel, Naftali Tishby: Information bottleneck based age verification. INTERSPEECH 2009: 188-191

Ron M. Hecht, Elad Noor, Naftali Tishby: Speaker recognition by Gaussian information bottleneck. INTERSPEECH 2009: 1567-1570

Eyal Krupka, Naftali Tishby: Generalization from Observed to Unobserved Features by Clustering. Journal of Machine Learning Research 9: 339-370 (2008)

Ohad Shamir, Sivan Sabato, Naftali Tishby: Learning and Generalization with the Information Bottleneck. ALT 2008: 92-107

Ohad Shamir, Naftali Tishby: Model Selection and Stability in k-means Clustering. COLT 2008: 367-378

Yevgeny Seldin, Naftali Tishby: Multi-classification by categorical features via clustering. ICML 2008: 920-927

Naftali Tishby: Extracting Relevant Information from Samples. ISAIM 2008

Ohad Shamir, Naftali Tishby: On the Reliability of Clustering Stability in the Large Sample Regime. NIPS 2008: 1465-1472

Eyal Krupka, Naftali Tishby: Incorporating Prior Knowledge on Features into Learning. Journal of Machine Learning Research - Proceedings Track 2: 227-234 (2007)

Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby: Euclidean Embedding of Co-occurrence Data. Journal of Machine Learning Research 8: 2265-2295 (2007)

Hani Neuvirth, Uri Heinemann, David Birnbaum, Naftali Tishby, Gideon Schreiber: ProMateus - an open research approach to protein-binding sites analysis. Nucleic Acids Research 35(Web-Server-Issue): 543-548 (2007)

Ohad Shamir, Naftali Tishby: Cluster Stability for Finite Samples. NIPS 2007

Noam Slonim, Nir Friedman, Naftali Tishby: Multivariate Information Bottleneck. Neural Computation 18(8): 1739-1789 (2006)

Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby: Embedding Heterogeneous Data Using Statistical Models. AAAI 2006: 1605-1608

Yevgeny Seldin, Noam Slonim, Naftali Tishby: Information Bottleneck for Non Co-Occurrence Data. NIPS 2006: 1241-1248

Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss: Information Bottleneck for Gaussian Variables. Journal of Machine Learning Research 6: 165-188 (2005)

Ron M. Hecht, Naftali Tishby: Extraction of relevant speech features using the information bottleneck method. INTERSPEECH 2005: 353-356

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Query by Committee Made Real. NIPS 2005

Eyal Krupka, Naftali Tishby: Generalization in Clustering with Unobserved Features. NIPS 2005

Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia: Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. NIPS 2005

Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby: Is Feature Selection Still Necessary? SLSFS 2005: 127-138

Gill Bejerano, Nir Friedman, Naftali Tishby: Efficient Exact p-Value Computation for Small Sample, Sparse, and Surprising Categorical Data. Journal of Computational Biology 11(5): 867-886 (2004)

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Bayes and Tukey Meet at the Center Point. COLT 2004: 549-563

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Margin based feature selection - theory and algorithms. ICML 2004

Amir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby: Euclidean Embedding of Co-Occurrence Data. NIPS 2004

Amir Globerson, Naftali Tishby: The Minimum Information Principle for Discriminative Learning. UAI 2004: 193-200

Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Sig. Proc. 2003(2): 93-102 (2003)

Ron Bekkerman, Ran El-Yaniv, Naftali Tishby, Yoad Winter: Distributional Word Clusters vs. Words for Text Categorization. Journal of Machine Learning Research 3: 1183-1208 (2003)

Amir Globerson, Naftali Tishby: Sufficient Dimensionality Reduction. Journal of Machine Learning Research 3: 1307-1331 (2003)

Naftali Tishby: Efficient Data Representations That Preserve Information. ALT 2003: 16

Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: An Information Theoretic Tradeoff between Complexity and Accuracy. COLT 2003: 595-609

Naftali Tishby: Efficient Data Representations That Preserve Information. Discovery Science 2003: 45

Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss: Information Bottleneck for Gaussian Variables. NIPS 2003

Amir Globerson, Gal Chechik, Naftali Tishby: Sufficient Dimensionality Reduction with Irrelevance Statistics. UAI 2003: 281-288

Shlomo Dubnov, Ran El-Yaniv, Yoram Gdalyahu, Elad Schneidman, Naftali Tishby, Golan Yona: A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles. Machine Learning 47(1): 35-61 (2002)

Amir Globerson, Naftali Tishby: Most Informative Dimension Reduction. AAAI/IAAI 2002: 1024-

Amir Globerson, Naftali Tishby: Sufficient Dimensionality Reduction - A novel Analysis Method. ICML 2002: 203-210

Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585

Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Margin Analysis of the LVQ Algorithm. NIPS 2002: 462-469

Gal Chechik, Naftali Tishby: Extracting Relevant Structures with Side Information. NIPS 2002: 857-864

Noam Slonim, Nir Friedman, Naftali Tishby: Unsupervised document classification using sequential information maximization. SIGIR 2002: 129-136

Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby: Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinformatics 17(10): 927-934 (2001)

William Bialek, Ilya Nemenman, Naftali Tishby: Predictability, Complexity, and Learning. Neural Computation 13(11): 2409-2463 (2001)

Itay Gat, Naftali Tishby: Spotting Neural Spike Patterns Using an Adversary Background Model. Neural Computation 13(12): 2681-2708 (2001)

Yevgeny Seldin, Gill Bejerano, Naftali Tishby: Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML 2001: 513-520

Gal Chechik, Amir Globerson, M. J. Anderson, E. D. Young, Israel Nelken, Naftali Tishby: Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway. NIPS 2001: 173-180

Noam Slonim, Nir Friedman, Naftali Tishby: Agglomerative Multivariate Information Bottleneck. NIPS 2001: 929-936

Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby: On Feature Distributional Clustering for Text Categorization. SIGIR 2001: 146-153

Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby: Multivariate Information Bottleneck. UAI 2001: 152-161

Shahar Mendelson, Naftali Tishby: Statistical Sufficiency for Classes in Empirical L₂ Spaces. COLT 2000: 81-89

Gal Chechik, Naftali Tishby: Temporally Dependent Plasticity: An Information Theoretic Account. NIPS 2000: 110-116

Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek: Universality and Individuality in a Neural Code. NIPS 2000: 159-165

Naftali Tishby, Noam Slonim: Data Clustering by Markovian Relaxation and the Information Bottleneck Method. NIPS 2000: 640-646

Noam Slonim, Naftali Tishby: Document clustering using word clusters via the information bottleneck method. SIGIR 2000: 208-215

Naftali Tishby, Fernando C. Pereira, William Bialek: The information bottleneck method. CoRR physics/0004057 (2000)

William Bialek, Ilya Nemenman, Naftali Tishby: Predictability, complexity and learning. CoRR physics/0007070 (2000)

Elad Schneidman, Idan Segev, Naftali Tishby: Information Capacity and Robustness of Stochastic Neuron Models. NIPS 1999: 178-184

Noam Slonim, Naftali Tishby: Agglomerative Information Bottleneck. NIPS 1999: 617-623

Dana Ron, Yoram Singer, Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. J. Comput. Syst. Sci. 56(2): 133-152 (1998)

Shai Fine, Yoram Singer, Naftali Tishby: The Hierarchical Hidden Markov Model: Analysis and Applications. Machine Learning 32(1): 41-62 (1998)

Golan Yona, Nathan Linial, Naftali Tishby, Michal Linial: A Map of the Protein Space: An Automatic Hierarchical Classification of all Protein Sequences. ISMB 1998: 212-221

Itay Gat, Naftali Tishby: Synergy and Redundancy among Brain Cells of Behaving Monkeys. NIPS 1998: 111-117

Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby: Multi-Electrode Spike Sorting by Clustering Transfer Functions. NIPS 1998: 146-152

Catriel Beeri, Gershon Elber, Tova Milo, Yehoshua Sagiv, Oded Shmueli, Naftali Tishby, Yakov A. Kogan, David Konopnicki, Pini Mogilevski, Noam Slonim: WebSuite: A Tool Suite for Harnessing Web Data. WebDB 1998: 152-171

Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Selective Sampling Using the Query by Committee Algorithm. Machine Learning 28(2-3): 133-168 (1997)

Ran El-Yaniv, Shai Fine, Naftali Tishby: Agnostic Classification of Markovian Sequences. NIPS 1997

Dana Ron, Yoram Singer, Naftali Tishby: The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length. Machine Learning 25(2-3): 117-149 (1996)

David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. Machine Learning 25(2-3): 195-236 (1996)

Fernando C. N. Pereira, Yoram Singer, Naftali Tishby: Beyond Word N-Grams. CoRR cmp-lg/9607016 (1996)

Dana Ron, Yoram Singer, Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. COLT 1995: 31-40

Yoram Singer, Naftali Tishby: Dynamical encoding of cursive handwriting. Biological Cybernetics 71(3): 227-237 (1994)

Dana Ron, Yoram Singer, Naftali Tishby: Learning Probabilistic Automata with Variable Memory Length. COLT 1994: 35-46

David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994: 76-87

Daphna Weinshall, Michael Werman, Naftali Tishby: Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) 1994: 24-35

Daphna Weinshall, Michael Werman, Naftali Tishby: Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision 1994: 237-256

Fernando C. N. Pereira, Naftali Tishby, Lillian Lee: Distributional Clustering of English Words. ACL 1993: 183-190

Dana Ron, Yoram Singer, Naftali Tishby: The Power of Amnesia. NIPS 1993: 176-183

Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky: The Statistical Mechanics of k-Satisfaction. NIPS 1993: 439-446

Yoram Singer, Naftali Tishby: Decoding Cursive Scripts. NIPS 1993: 833-840

Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490

Itay Gat, Naftali Tishby: Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. NIPS 1992: 945-952

H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby: Learning Curves in Large Neural Networks. COLT 1991: 112-127

Esther Levin, Naftali Tishby, Sara A. Solla: A Statistical Approach to Learning and Generalization in Layered Neural Networks. COLT 1989: 245-260