Naftali Tishby

	2008
74		Ohad Shamir, Sivan Sabato, Naftali Tishby: Learning and Generalization with the Information Bottleneck. ALT 2008: 92-107
73		Ohad Shamir, Naftali Tishby: Model Selection and Stability in k-means Clustering. COLT 2008: 367-378
72		Yevgeny Seldin, Naftali Tishby: Multi-classification by categorical features via clustering. ICML 2008: 920-927
71		Ohad Shamir, Naftali Tishby: On the Reliability of Clustering Stability in the Large Sample Regime. NIPS 2008: 1465-1472
	2007
70		Ohad Shamir, Naftali Tishby: Cluster Stability for Finite Samples. NIPS 2007
69		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)
	2006
68		Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby: Embedding Heterogeneous Data Using Statistical Models. AAAI 2006
67		Yevgeny Seldin, Noam Slonim, Naftali Tishby: Information Bottleneck for Non Co-Occurrence Data. NIPS 2006: 1241-1248
66		Noam Slonim, Nir Friedman, Naftali Tishby: Multivariate Information Bottleneck. Neural Computation 18(8): 1739-1789 (2006)
	2005
65		Eyal Krupka, Naftali Tishby: Generalization in Clustering with Unobserved Features. NIPS 2005
64		Amir Navot, Lavi Shpigelman, Naftali Tishby, Eilon Vaadia: Nearest Neighbor Based Feature Selection for Regression and its Application to Neural Activity. NIPS 2005
63		Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Query by Committee Made Real. NIPS 2005
62		Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby: Is Feature Selection Still Necessary? SLSFS 2005: 127-138
61		Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss: Information Bottleneck for Gaussian Variables. Journal of Machine Learning Research 6: 165-188 (2005)
	2004
60		Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Bayes and Tukey Meet at the Center Point. COLT 2004: 549-563
59		Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Margin based feature selection - theory and algorithms. ICML 2004
58		Amir Globerson, Gal Chechik, Fernando C. Pereira, Naftali Tishby: Euclidean Embedding of Co-Occurrence Data. NIPS 2004
57		Amir Globerson, Naftali Tishby: The Minimum Information Principle for Discriminative Learning. UAI 2004: 193-200
56		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)
	2003
55		Naftali Tishby: Efficient Data Representations That Preserve Information. ALT 2003: 16
54		Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: An Information Theoretic Tradeoff between Complexity and Accuracy. COLT 2003: 595-609
53		Naftali Tishby: Efficient Data Representations That Preserve Information. Discovery Science 2003: 45
52		Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss: Information Bottleneck for Gaussian Variables. NIPS 2003
51		Amir Globerson, Gal Chechik, Naftali Tishby: Sufficient Dimensionality Reduction with Irrelevance Statistics. UAI 2003: 281-288
50		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)
49		Amir Globerson, Naftali Tishby: Sufficient Dimensionality Reduction. Journal of Machine Learning Research 3: 1307-1331 (2003)
	2002
48		Amir Globerson, Naftali Tishby: Most Informative Dimension Reduction. AAAI/IAAI 2002: 1024-1029
47		Amir Globerson, Naftali Tishby: Sufficient Dimensionality Reduction - A novel Analysis Method. ICML 2002: 203-210
46		Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585
45		Koby Crammer, Ran Gilad-Bachrach, Amir Navot, Naftali Tishby: Margin Analysis of the LVQ Algorithm. NIPS 2002: 462-469
44		Gal Chechik, Naftali Tishby: Extracting Relevant Structures with Side Information. NIPS 2002: 857-864
43		Noam Slonim, Nir Friedman, Naftali Tishby: Unsupervised document classification using sequential information maximization. SIGIR 2002: 129-136
42		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)
	2001
41		Yevgeny Seldin, Gill Bejerano, Naftali Tishby: Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. ICML 2001: 513-520
40		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
39		Noam Slonim, Nir Friedman, Naftali Tishby: Agglomerative Multivariate Information Bottleneck. NIPS 2001: 929-936
38		Ron Bekkerman, Ran El-Yaniv, Yoad Winter, Naftali Tishby: On Feature Distributional Clustering for Text Categorization. SIGIR 2001: 146-153
37		Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby: Multivariate Information Bottleneck. UAI 2001: 152-161
36		Gill Bejerano, Yevgeny Seldin, Hanah Margalit, Naftali Tishby: Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinformatics 17(10): 927-934 (2001)
35		William Bialek, Ilya Nemenman, Naftali Tishby: Predictability, Complexity, and Learning. Neural Computation 13(11): 2409-2463 (2001)
34		Itay Gat, Naftali Tishby: Spotting Neural Spike Patterns Using an Adversary Background Model. Neural Computation 13(12): 2681-2708 (2001)
	2000
33		Shahar Mendelson, Naftali Tishby: Statistical Sufficiency for Classes in Empirical L2 Spaces. COLT 2000: 81-89
32		Gal Chechik, Naftali Tishby: Temporally Dependent Plasticity: An Information Theoretic Account. NIPS 2000: 110-116
31		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
30		Naftali Tishby, Noam Slonim: Data Clustering by Markovian Relaxation and the Information Bottleneck Method. NIPS 2000: 640-646
29		Noam Slonim, Naftali Tishby: Document clustering using word clusters via the information bottleneck method. SIGIR 2000: 208-215
28		Naftali Tishby, Fernando C. Pereira, William Bialek: The information bottleneck method CoRR physics/0004057: (2000)
27		William Bialek, Ilya Nemenman, Naftali Tishby: Predictability, complexity and learning CoRR physics/0007070: (2000)
	1999
26		Elad Schneidman, Idan Segev, Naftali Tishby: Information Capacity and Robustness of Stochastic Neuron Models. NIPS 1999: 178-184
25		Noam Slonim, Naftali Tishby: Agglomerative Information Bottleneck. NIPS 1999: 617-623
	1998
24		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
23		Itay Gat, Naftali Tishby: Synergy and Redundancy among Brain Cells of Behaving Monkeys. NIPS 1998: 111-117
22		Dmitry Rinberg, Hanan Davidowitz, Naftali Tishby: Multi-Electrode Spike Sorting by Clustering Transfer Functions. NIPS 1998: 146-152
21		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
20		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)
19		Shai Fine, Yoram Singer, Naftali Tishby: The Hierarchical Hidden Markov Model: Analysis and Applications. Machine Learning 32(1): 41-62 (1998)
	1997
18		Ran El-Yaniv, Shai Fine, Naftali Tishby: Agnostic Classification of Markovian Sequences. NIPS 1997
17		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)
	1996
16		Fernando C. N. Pereira, Yoram Singer, Naftali Tishby: Beyond Word N-Grams CoRR cmp-lg/9607016: (1996)
15		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)
14		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)
	1995
13		Dana Ron, Yoram Singer, Naftali Tishby: On the Learnability and Usage of Acyclic Probabilistic Finite Automata. COLT 1995: 31-40
	1994
12		Dana Ron, Yoram Singer, Naftali Tishby: Learning Probabilistic Automata with Variable Memory Length. COLT 1994: 35-46
11		David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994: 76-87
10		Daphna Weinshall, Michael Werman, Naftali Tishby: Stability and Likelihood of Views of Three Dimensional Objects. ECCV (1) 1994: 24-35
9		Daphna Weinshall, Michael Werman, Naftali Tishby: Stability and Likelihood of Views of Three Dimensional Objects. Theoretical Foundations of Computer Vision 1994: 237-256
	1993
8		Fernando C. N. Pereira, Naftali Tishby, Lillian Lee: Distributional Clustering of English Words. ACL 1993: 183-190
7		Dana Ron, Yoram Singer, Naftali Tishby: The Power of Amnesia. NIPS 1993: 176-183
6		Scott Kirkpatrick, Géza Györgyi, Naftali Tishby, Lidror Troyansky: The Statistical Mechanics of k-Satisfaction. NIPS 1993: 439-446
5		Yoram Singer, Naftali Tishby: Decoding Cursive Scripts. NIPS 1993: 833-840
	1992
4		Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490
3		Itay Gat, Naftali Tishby: Statistical Modeling of Cell Assemblies Activities in Associative Cortex of Behaving Monkeys. NIPS 1992: 945-952
	1991
2		H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby: Learning Curves in Large Neural Networks. COLT 1991: 112-127
	1989
1		Esther Levin, Naftali Tishby, Sara A. Solla: A Statistical Approach to Learning and Generalization in Layered Neural Networks. COLT 1989: 245-260

Coauthor Index

1	M. J. Anderson	[40]
2	Catriel Beeri	[21]
3	Gill Bejerano	[36] [41] [46] [56]
4	Ron Bekkerman	[38] [50]
5	William Bialek	[27] [28] [31] [35]
6	David Birnbaum	[69]
7	Naama Brenner	[31]
8	Gal Chechik	[32] [40] [44] [51] [52] [58] [61] [68]
9	Koby Crammer	[45]
10	Hanan Davidowitz	[22]
11	Shlomo Dubnov	[42]
12	Ran El-Yaniv	[18] [38] [42] [50]
13	Gershon Elber	[21]
14	Shai Fine	[18] [19] [46]
15	Yoav Freund	[4] [17]
16	Nir Friedman	[37] [39] [43] [56] [66]
17	Itay Gat	[3] [23] [34]
18	Yoram Gdalyahu	[42]
19	Ran Gilad-Bachrach (Ran Bachrach)	[45] [54] [59] [60] [62] [63]
20	Amir Globerson	[40] [47] [48] [49] [51] [52] [57] [58] [61] [68]
21	Géza Györgyi	[6]
22	David Haussler	[11] [14]
23	Uri Heinemann	[69]
24	Michael J. Kearns	[11] [14]
25	Scott Kirkpatrick	[6]
26	Yakov A. Kogan	[21]
27	David Konopnicki	[21]
28	Eyal Krupka	[65]
29	Lillian Lee	[8]
30	Esther Levin	[1]
31	Michal Linial	[24]
32	Nathan Linial (Nati Linial)	[24]
33	Hanah Margalit	[36]
34	Shahar Mendelson	[33]
35	Tova Milo	[21]
36	Pini Mogilevski	[21]
37	Ori Mosenzon	[37]
38	Amir Navot	[45] [54] [59] [60] [62] [63] [64]
39	Yiftah Navot	[62]
40	Israel Nelken	[40]
41	Ilya Nemenman	[27] [35]
42	Hani Neuvirth	[69]
43	Fernando Pereira	[68]
44	Fernando C. Pereira	[28] [58]
45	Fernando C. N. Pereira	[8] [16]
46	Dmitry Rinberg	[22]
47	Dana Ron	[7] [12] [13] [15] [20]
48	Sivan Sabato	[74]
49	Yehoshua Sagiv	[21]
50	Elad Schneidman	[26] [31] [42]
51	Gideon Schreiber	[69]
52	Idan Segev	[26]
53	Yevgeny Seldin	[36] [41] [67] [72]
54	H. Sebastian Seung	[2] [4] [11] [14] [17]
55	Eli Shamir	[4] [17]
56	Ohad Shamir	[70] [71] [73] [74]
57	Oded Shmueli	[21]
58	Lavi Shpigelman	[64]
59	Yoram Singer	[5] [7] [12] [13] [15] [16] [19] [20]
60	Noam Slonim	[21] [25] [29] [30] [37] [39] [43] [46] [66] [67]
61	Sara A. Solla	[1]
62	Haim Sompolinsky	[2]
63	Robert R. de Ruyter van Steveninck	[31]
64	Lidror Troyansky	[6]
65	Eilon Vaadia	[64]
66	Daphna Weinshall	[9] [10]
67	Yair Weiss	[52] [61]
68	Michael Werman	[9] [10]
69	Yoad Winter	[38] [50]
70	Golan Yona	[24] [42]
71	E. D. Young	[40]

Colors in the list of coauthors