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Naftali Tishby, Professor - Publications

Affiliations: 
Computer Science, ICNC, ELSC Hebrew University, Jerusalem, Jerusalem, Israel 
Area:
Machine Learning, Statistical Physics, Computational Neuroscience
Website:
http://www.Cs.huji.ac.il/~tishby
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Year Citation  Score
2022 Amir N, Tishby N, Nelken I. A simple model of the attentional blink and its modulation by mental training. Plos Computational Biology. 18: e1010398. PMID 36037219 DOI: 10.1371/journal.pcbi.1010398  0.748
2021 Levi-Aharoni H, Tishby N. The value-complexity trade-off for reinforcement learning based brain-computer interfaces. Journal of Neural Engineering. 17: 066011. PMID 33586668 DOI: 10.1088/1741-2552/abc8d8  0.754
2020 Amir N, Suliman R, Tal M, Shifman S, Tishby N, Nelken I. Value-complexity tradeoff explains mouse navigational learning. Plos Computational Biology. 16: e1008497. PMID 33306669 DOI: 10.1371/journal.pcbi.1008497  0.76
2020 Levi-Aharoni H, Shriki O, Tishby N. Surprise response as a probe for compressed memory states. Plos Computational Biology. 16: e1007065. PMID 32012146 DOI: 10.1371/Journal.Pcbi.1007065  0.748
2020 Painsky A, Feder M, Tishby N. Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach Entropy. 22: 208. DOI: 10.3390/e22020208  0.383
2017 Wang S, Borst A, Zaslavsky N, Tishby N, Segev I. Efficient encoding of motion is mediated by gap junctions in the fly visual system. Plos Computational Biology. 13: e1005846. PMID 29206224 DOI: 10.1371/journal.pcbi.1005846  0.578
2016 Rubin J, Ulanovsky N, Nelken I, Tishby N. The Representation of Prediction Error in Auditory Cortex. Plos Computational Biology. 12: e1005058. PMID 27490251 DOI: 10.1371/Journal.Pcbi.1005058  0.757
2015 Jacoby N, Tishby N, Repp BH, Ahissar M, Keller PE. Parameter Estimation of Linear Sensorimotor Synchronization Models: Phase Correction, Period Correction, and Ensemble Synchronization Timing & Time Perception. 3: 52-87. DOI: 10.1163/22134468-00002048  0.769
2015 Jacoby N, Keller PE, Repp BH, Ahissar M, Tishby N. Lower Bound on the Accuracy of Parameter Estimation Methods for Linear Sensorimotor Synchronization Models Timing & Time Perception. 3: 32-51. DOI: 10.1163/22134468-00002047  0.769
2015 Jacoby N, Tishby N, Tymoczko D. An Information Theoretic Approach to Chord Categorization and Functional Harmony Journal of New Music Research. 44: 219-244. DOI: 10.1080/09298215.2015.1036888  0.668
2013 Hecht RM, Noor E, Dobry G, Zigel Y, Bar-Hillel A, Tishby N. Effective model representation by information bottleneck principle Ieee Transactions On Audio, Speech and Language Processing. 21: 1755-1759. DOI: 10.1109/TASL.2013.2253097  0.38
2013 Sabato S, Srebro N, Tishby N. Distribution-dependent sample complexity of large margin learning Journal of Machine Learning Research. 14: 2119-2149.  0.607
2012 Rubin J, Shamir O, Tishby N. Trading value and information in MDPs Intelligent Systems Reference Library. 28: 57-74. DOI: 10.1007/978-3-642-24647-0_3  0.691
2011 Parush N, Tishby N, Bergman H. Dopaminergic Balance between Reward Maximization and Policy Complexity. Frontiers in Systems Neuroscience. 5: 22. PMID 21603228 DOI: 10.3389/Fnsys.2011.00022  0.757
2011 Shamir O, Tishby N. Spectral clustering on a budget Journal of Machine Learning Research. 15: 661-669.  0.559
2010 Shamir O, Sabato S, Tishby N. Learning and generalization with the information bottleneck Theoretical Computer Science. 411: 2696-2711. DOI: 10.1016/J.Tcs.2010.04.006  0.791
2010 Shamir O, Tishby N. Stability and model selection in k-means clustering Machine Learning. 80: 213-243. DOI: 10.1007/S10994-010-5177-8  0.621
2010 Sabato S, Srebro N, Tishby N. Tight sample complexity of large-margin learning Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010.  0.606
2010 Sabato S, Srebro N, Tishby N. Reducing label complexity by learning from bags Journal of Machine Learning Research. 9: 685-692.  0.603
2009 Creutzig F, Globerson A, Tishby N. Past-future information bottleneck in dynamical systems. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 79: 041925. PMID 19518274 DOI: 10.1103/Physreve.79.041925  0.727
2009 Globerson A, Stark E, Vaadia E, Tishby N. The minimum information principle and its application to neural code analysis. Proceedings of the National Academy of Sciences of the United States of America. 106: 3490-5. PMID 19218435 DOI: 10.1073/Pnas.0806782106  0.732
2009 Globerson A, Stark E, Vaadia E, Tishby N. The minimum information principle and its application to neural code analysis (Proceeding of the National Academy of Sciences of the United States of America (2009) 106, 9, (3490-3495) doi: 10.1073/pnas.0806782106) Proceedings of the National Academy of Sciences of the United States of America. 106: 4061. DOI: 10.1073/pnas.0901850106  0.684
2009 Shamir O, Tishby N. On the reliability of clustering stability in the large sample regime - Supplementary material Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1465-1472.  0.562
2009 Shamir O, Tishby N. Cluster stability for finite samples Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.561
2008 Parush N, Arkadir D, Nevet A, Morris G, Tishby N, Nelken I, Bergman H. Encoding by response duration in the basal ganglia. Journal of Neurophysiology. 100: 3244-52. PMID 18842956 DOI: 10.1152/Jn.90400.2008  0.76
2008 Shamir O, Tishby N. Model selection and stability in k-means clustering 21st Annual Conference On Learning Theory, Colt 2008. 367-378.  0.569
2007 Seldin Y, Slonim N, Tishby N. Information bottleneck for non co-occurrence data Advances in Neural Information Processing Systems. 1241-1248.  0.665
2007 Globerson A, Chechik G, Pereira F, Tishby N. Euclidean embedding of co-occurrence data Journal of Machine Learning Research. 8: 2265-2295.  0.676
2007 Globerson A, Chechik G, Pereira F, Tishby N. Euclidean embedding of co-occurrence data Journal of Machine Learning Research. 8: 2265-2295.  0.676
2006 Chechik G, Anderson MJ, Bar-Yosef O, Young ED, Tishby N, Nelken I. Reduction of information redundancy in the ascending auditory pathway. Neuron. 51: 359-68. PMID 16880130 DOI: 10.1016/j.neuron.2006.06.030  0.779
2006 Slonim N, Friedman N, Tishby N. Multivariate information bottleneck. Neural Computation. 18: 1739-89. PMID 16771652 DOI: 10.1162/Neco.2006.18.8.1739  0.706
2006 Bialek W, De Ruyter Van Steveninck RR, Tishby N. Efficient representation as a design principle for neural coding and computation Ieee International Symposium On Information Theory - Proceedings. 659-663. DOI: 10.1109/ISIT.2006.261867  0.763
2006 Globerson A, Chechik G, Pereira F, Tishby N. Embedding heterogeneous data using statistical models Proceedings of the National Conference On Artificial Intelligence. 2: 1605-1608.  0.696
2005 Navot A, Shpigelman L, Tishby N, Vaadia E. Nearest neighbor based feature selection for regression and its application to neural activity Advances in Neural Information Processing Systems. 995-1002.  0.551
2005 Chechik G, Globerson A, Tishby N, Weiss Y. Information bottleneck for Gaussian variables Journal of Machine Learning Research. 6.  0.716
2005 Chechik G, Globerson A, Tishby N, Weiss Y. Information bottleneck for Gaussian variables Journal of Machine Learning Research. 6.  0.716
2004 Bejerano G, Friedman N, Tishby N. Efficient exact p-value computation for small sample, sparse, and surprising categorical data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 11: 867-86. PMID 15700407 DOI: 10.1089/Cmb.2004.11.867  0.616
2003 Slonim N, Bejerano G, Fine S, Tishby N. Discriminative feature selection via multiclass variable memory Markov model Eurasip Journal On Applied Signal Processing. 2003: 93-102. DOI: 10.1155/S111086570321115X  0.741
2003 Globerson A, Tishby N. Sufficient dimensionality reduction Journal of Machine Learning Research. 3: 1307-1331.  0.425
2003 Chechik G, Tishby N. Extracting relevant structures with side information Advances in Neural Information Processing Systems.  0.618
2002 Dubnov S, El-Yaniv R, Gdalyahu Y, Schneidman E, Tishby N, Yona G. A new nonparametric pairwise clustering algorithm based on iterative estimation of distance profiles Machine Learning. 47: 35-61. DOI: 10.1023/A:1013631728342  0.751
2002 Slonim N, Friedman N, Tishby N. Unsupervised document classification using sequential information maximization Sigir Forum (Acm Special Interest Group On Information Retrieval). 129-136.  0.67
2002 Globerson A, Tishby N. Most informative dimension reduction Proceedings of the National Conference On Artificial Intelligence. 1024-1029.  0.511
2002 Chechik G, Globerson A, Tishby N, Anderson MJ, Young ED, Nelken T. Group redundancy measures reveal redundancy reduction in the auditory pathway Advances in Neural Information Processing Systems.  0.67
2002 Slonim N, Friedman N, Tishby N. Agglomerative multivariate information bottleneck Advances in Neural Information Processing Systems.  0.668
2001 Gat I, Tishby N. Spotting neural spike patterns using an adversary background model. Neural Computation. 13: 2681-708. PMID 11705407 DOI: 10.1162/089976601317098493  0.69
2001 Bialek W, Nemenman I, Tishby N. Predictability, complexity, and learning. Neural Computation. 13: 2409-63. PMID 11674845 DOI: 10.1162/089976601753195969  0.782
2001 Bejerano G, Seldin Y, Margalit H, Tishby N. Markovian domain fingerprinting: statistical segmentation of protein sequences. Bioinformatics (Oxford, England). 17: 927-34. PMID 11673237  0.548
2001 Slonim N, Somerville R, Tishby N, Lahav O. Objective classification of galaxy spectra using the information bottleneck method Monthly Notices of the Royal Astronomical Society. 323: 270-284. DOI: 10.1046/J.1365-8711.2001.04125.X  0.675
2001 Bialek W, Nemenman I, Tishby N. Complexity through nonextensivity Physica a: Statistical Mechanics and Its Applications. 302: 89-99. DOI: 10.1016/S0378-4371(01)00444-7  0.772
2001 Schneidman E, Brenner N, Tishby N, De Ruyter Van Steveninck RR, Bialek W. Universality and individuality in a neural code Advances in Neural Information Processing Systems.  0.751
2001 Tishby N, Slonim N. Data clustering by Markovian relaxation and the Information Bottleneck Method Advances in Neural Information Processing Systems.  0.655
2001 Chechik G, Tishby N. Temporally dependent plasticity: An information theoretic account Advances in Neural Information Processing Systems.  0.638
2000 Slonim N, Tishby N. Agglomerative information bottleneck Advances in Neural Information Processing Systems. 617-623.  0.665
2000 Schneidman E, Segev I, Tishby N. Information capacity and robustness of stochastic neuron models Advances in Neural Information Processing Systems. 178-184.  0.743
1999 Beeri C, Elber G, Milo T, Sagiv Y, Shmueli O, Tishby N, Kogan Y, Konopnicki D, Mogilevski P, Slonim N. Websuite—a tool suite for harnessing web data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1590: 152-171.  0.612
1998 Fine S, Singer Y, Tishby N. Hierarchical Hidden Markov Model: Analysis and applications Machine Learning. 32: 41-62. DOI: 10.1023/A:1007469218079  0.709
1998 Ron D, Singer Y, Tishby N. On the Learnability and Usage of Acyclic Probabilistic Finite Automata Journal of Computer and System Sciences. 56: 133-152.  0.476
1997 Gat I, Tishby N, Abeles M. Hidden Markov modelling of simultaneously recorded cells in the associative cortex of behaving monkeys Network: Computation in Neural Systems. 8: 297-322. DOI: 10.1088/0954-898X_8_3_005  0.752
1997 Dubnov S, Tishby N, Cohen D. Polyspectra as measures of sound texture and timbre* Journal of New Music Research. 26: 277-314. DOI: 10.1080/09298219708570732  0.638
1997 Freund Y, Seung HS, Shamir E, Tishby N. Selective Sampling Using the Query by Committee Algorithm Machine Learning. 28: 133-168. DOI: 10.1023/A:1007330508534  0.553
1997 Gat I, Tishby N, Abeles M. Comparative study of supervised detection methods of simultaneously recorded spike trains Neuroscience Letters. 237: S17-S18. DOI: 10.1016/S0304-3940(97)90071-9  0.623
1997 Haussler D, Kearns M, Seung HS, Tishby N. Rigorous learning curve bounds from statistical mechanics Machine Learning. 25: 195-236. DOI: 10.1007/BF00114010  0.483
1997 Dubnov S, Tishby N. Analysis of sound textures in musical and machine sounds by means of higher order statistical features Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5: 3845-3848.  0.578
1996 Ron D, Singer Y, Tishby N. The power of amnesia: Learning probabilistic automata with variable memory length Machine Learning. 25: 117-149.  0.514
1995 Abeles M, Bergman H, Gat I, Meilijson I, Seidemann E, Tishby N, Vaadia E. Cortical activity flips among quasi-stationary states. Proceedings of the National Academy of Sciences of the United States of America. 92: 8616-20. PMID 7567985 DOI: 10.1073/Pnas.92.19.8616  0.772
1995 Dubnov S, Tishby N, Cohen D. Hearing beyond the spectrum Journal of New Music Research. 24: 342-368. DOI: 10.1080/09298219508570690  0.651
1994 Singer Y, Tishby N. Dynamical encoding of cursive handwriting. Biological Cybernetics. 71: 227-37. PMID 7918801 DOI: 10.1007/Bf00202762  0.561
1994 Singer Y, Tishby N. Inferring probabilistic acyclic automata using the minimum description length principle Ieee International Symposium On Information Theory - Proceedings. 392. DOI: 10.1109/ISIT.1994.394627  0.513
1992 Seung HS, Sompolinsky H, Tishby N. Statistical mechanics of learning from examples. Physical Review. A. 45: 6056-6091. PMID 9907706 DOI: 10.1103/PhysRevA.45.6056  0.681
1990 Sompolinsky H, Tishby N, Seung HS. Learning from examples in large neural networks. Physical Review Letters. 65: 1683-1686. PMID 10042332 DOI: 10.1103/PhysRevLett.65.1683  0.642
1990 Sompolinsky H, Tishby N. Learning in a two-layer neural network of edge detectors Epl. 13: 567-572. DOI: 10.1209/0295-5075/13/6/016  0.571
1985 Tikochinsky Y, Tishby NZ, Levine RD. Tikochinsky, Tishby, and Levine respond. Physical Review Letters. 55: 1031. PMID 10032513 DOI: 10.1103/Physrevlett.55.1031  0.405
1985 Tikochinsky Y, Tishby NZ, Levine RD. Tikochinsky, Tishby, and Levine respond. Physical Review Letters. 55: 337. PMID 10032323  0.323
1984 Tikochinsky Y, Tishby NZ, Levine RD. Consistent inference of probabilities for reproducible experiments Physical Review Letters. 52: 1357-1360. DOI: 10.1103/Physrevlett.52.1357  0.374
1984 Tikochinsky Y, Tishby NZ, Levine RD. Alternative approach to maximum-entropy inference Physical Review A. 30: 2638-2644. DOI: 10.1103/Physreva.30.2638  0.415
1984 Tishby NZ, Levine RD. Time evolution via a self-consistent maximal-entropy propagation: The reversible case Physical Review A. 30: 1477-1490. DOI: 10.1103/Physreva.30.1477  0.326
1984 Tishby NZ, Levine RD. A self-consistent field procedure for stationary states using an algebraic approach and the maximum entropy formalism Chemical Physics Letters. 104: 4-8. DOI: 10.1016/0009-2614(84)85293-8  0.345
1983 Tishby NZ, Levine RD. Surprisal analysis derived from a variational principle for mechanical systems Chemical Physics Letters. 98: 310-314. DOI: 10.1016/0009-2614(83)80213-9  0.37
Low-probability matches (unlikely to be authored by this person)
1994 Tishby N, Gorin A. Algebraic learning of statistical associations for language acquisition Computer Speech and Language. 8: 51-78. DOI: 10.1006/csla.1994.1003  0.287
2019 Hecht RM, Hillel AB, Telpaz A, Tsimhoni O, Tishby N. Information Constrained Control Analysis of Eye Gaze Distribution Under Workload Ieee Transactions On Human-Machine Systems. 49: 474-484. DOI: 10.1109/Thms.2019.2930996  0.285
2019 Carleo G, Cirac I, Cranmer K, Daudet L, Schuld M, Tishby N, Vogt-Maranto L, Zdeborová L. Machine learning and the physical sciences Reviews of Modern Physics. 91. DOI: 10.1103/Revmodphys.91.045002  0.27
2006 Navot A, Gilad-Bachrach R, Navot Y, Tishby N. Is feature selection still necessary? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3940: 127-138. DOI: 10.1007/11752790_8  0.269
2018 Zaslavsky N, Kemp C, Regier T, Tishby N. Efficient compression in color naming and its evolution. Proceedings of the National Academy of Sciences of the United States of America. PMID 30021851 DOI: 10.1073/Pnas.1800521115  0.269
2020 Painsky A, Feder M, Tishby N. Nonlinear Canonical Correlation Analysis:A Compressed Representation Approach. Entropy (Basel, Switzerland). 22. PMID 33285982 DOI: 10.3390/e22020208  0.261
2004 Adar R, Benenson Y, Linshiz G, Rosner A, Tishby N, Shapiro E. Stochastic computing with biomolecular automata. Proceedings of the National Academy of Sciences of the United States of America. 101: 9960-5. PMID 15215499 DOI: 10.1073/Pnas.0400731101  0.26
1997 Linial M, Linial N, Tishby N, Yona G. Global self-organization of all known protein sequences reveals inherent biological signatures. Journal of Molecular Biology. 268: 539-56. PMID 9159489 DOI: 10.1006/jmbi.1997.0948  0.26
2011 Calderara S, Heinemann U, Prati A, Cucchiara R, Tishby N. Detecting anomalies in people's trajectories using spectral graph analysis Computer Vision and Image Understanding. 115: 1099-1111. DOI: 10.1016/J.Cviu.2011.03.003  0.248
1989 Györgyi G, Tishby N. Path integrals in Hamiltonian systems: Breakup of the last Kolmogorov-Arnold-Moser torus due to random forces. Physical Review Letters. 62: 353-356. PMID 10040211 DOI: 10.1103/PhysRevLett.62.353  0.236
1987 Györgyi G, Tishby N. Destabilization of islands in noisy Hamiltonian systems. Physical Review. A. 36: 4957-4967. PMID 9898755 DOI: 10.1103/PhysRevA.36.4957  0.23
1987 Györgyi G, Tishby N. Scaling in stochastic Hamiltonian systems: A renormalization approach. Physical Review Letters. 58: 527-530. PMID 10034964 DOI: 10.1103/PhysRevLett.58.527  0.229
2007 Neuvirth H, Heinemann U, Birnbaum D, Tishby N, Schreiber G. ProMateus--an open research approach to protein-binding sites analysis. Nucleic Acids Research. 35: W543-8. PMID 17488838 DOI: 10.1093/nar/gkm301  0.226
2005 Tishby N. Course 16 The emergence of relevant data representations: An information theoretic approach Les Houches Summer School Proceedings. 80: 787-829. DOI: 10.1016/S0924-8099(05)80022-8  0.213
2003 Tishby N. Efficient Data Representations That Preserve Information Lecture Notes in Computer Science. 45.  0.211
2015 Tishby N, Zaslavsky N. Deep learning and the information bottleneck principle 2015 Ieee Information Theory Workshop, Itw 2015. DOI: 10.1109/ITW.2015.7133169  0.209
2003 Gilad-Bachrach R, Navot A, Tishby N. An information theoretic tradeoff between complexity and accuracy Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 2777: 595-609.  0.202
2009 Hecht RM, Noor E, Tishby N. Speaker recognition by Gaussian information bottleneck Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 1567-1570.  0.197
2016 Amir N, Tiomkin S, Tishby N. Past-future Information Bottleneck for linear feedback systems Proceedings of the Ieee Conference On Decision and Control. 2016: 5737-5742. DOI: 10.1109/CDC.2015.7403120  0.193
2007 Harremoës P, Tishby N. The information bottleneck revisited or how to choose a good distortion measure Ieee International Symposium On Information Theory - Proceedings. 566-570. DOI: 10.1109/ISIT.2007.4557285  0.182
1989 Tishby N, Levin E, Solla SA. Consistent inference of probabilities in layered networks: Predictions and generalization Ijcnn Int Jt Conf Neural Network. 403-409.  0.159
2005 Hecht RM, Tishby N. Extraction of relevant speech features using the information bottleneck method 9th European Conference On Speech Communication and Technology. 353-356.  0.155
2009 Hecht RM, Hezroni O, Manna A, Dobry G, Zigel Y, Tishby N. Information bottleneck based age verification Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 188-191.  0.15
2014 Moshkovitz M, Tishby N. Control your information for better predictions Ieee International Symposium On Information Theory - Proceedings. 916-920. DOI: 10.1109/ISIT.2014.6874966  0.149
2008 Tishby N. Extracting relevant information from samples 10th International Symposium On Artificial Intelligence and Mathematics, Isaim 2008. 60P.  0.149
1990 Levin E, Tishby N, Solla SA. A Statistical Approach to Learning and Generalization in Layered Neural Networks Proceedings of the Ieee. 78: 1568-1574. DOI: 10.1109/5.58339  0.146
1996 Haussler D, Kearns M, Sebastian Seung H, Tishby N. Rigorous learning curve bounds from statistical mechanics Machine Learning. 25: 195-236.  0.141
2009 Sabato S, Tishby N. Homogeneous multi-instance learning with arbitrary dependence Colt 2009 - the 22nd Conference On Learning Theory.  0.135
2007 Krupka E, Tishby N. Incorporating prior knowledge on features into learning Journal of Machine Learning Research. 2: 227-234.  0.128
2008 Krupka E, Navot A, Tishby N. Learning to select features using their properties Journal of Machine Learning Research. 9: 2349-2376.  0.127
2012 Sabato S, Tishby N. Multi-instance learning with any hypothesis class Journal of Machine Learning Research. 13: 2999-3039.  0.127
1987 Tishby N. Text‐independent speaker verification using linear predictive hidden Markov models The Journal of the Acoustical Society of America. 81: S94-S94. DOI: 10.1121/1.2024482  0.122
1991 Tishby NZ. On the Application of Mixture AR Hidden Markov Models to Text Independent Speaker Recognition Ieee Transactions On Signal Processing. 39: 563-570. DOI: 10.1109/78.80876  0.114
1988 Tishby N. Nonlinear dynamical modeling of speech using neural networks Neural Networks. 1: 279. DOI: 10.1016/0893-6080(88)90313-9  0.111
1998 Yona G, Linial N, Tishby N, Linial M. A map of the protein space--an automatic hierarchical classification of all protein sequences. Proceedings / ... International Conference On Intelligent Systems For Molecular Biology ; Ismb. International Conference On Intelligent Systems For Molecular Biology. 6: 212-21. PMID 9783227  0.106
2009 Seldin Y, Tishby N. PAC-Bayesian generalization bound for density estimation with application to co-clustering Journal of Machine Learning Research. 5: 472-479.  0.105
2008 Krupka E, Tishby N. Generalization from observed to unobserved features by clustering Journal of Machine Learning Research. 9: 339-370.  0.091
2019 Zaslavsky N, Kemp C, Tishby N, Regier T. Communicative need in colour naming. Cognitive Neuropsychology. 1-13. PMID 31027459 DOI: 10.1080/02643294.2019.1604502  0.091
2008 Seldin Y, Tishby N. Multi-classification by categorical features via clustering Proceedings of the 25th International Conference On Machine Learning. 920-927.  0.089
2005 Krupka E, Tishby N. Generalization in clustering with unobserved features Advances in Neural Information Processing Systems. 683-690.  0.089
2001 Bekkerman R, El-Yaniv R, Winter Y, Tishby N. On feature distributional clustering for text categorization Sigir Forum (Acm Special Interest Group On Information Retrieval). 146-153.  0.086
2010 Seldin Y, Tishby N. PAC-Bayesian analysis of Co-clustering and beyond Journal of Machine Learning Research. 11: 3595-3646.  0.084
2004 Gilad-Bachrach R, Navot A, Tishby N. Margin based feature selection - Theory and algorithms Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 337-344.  0.078
2006 Gilad-Bachrach R, Navot A, Tishby N. Large margin principles for feature selection Studies in Fuzziness and Soft Computing. 207: 585-606.  0.072
1999 Rinberg D, Davidowitz H, Tishby N. Multi-electrode spike sorting by clustering transfer functions Advances in Neural Information Processing Systems. 146-152.  0.069
2018 Zaslavsky N, Kemp C, Tishby N, Regier T. Color Naming Reflects Both Perceptual Structure and Communicative Need. Topics in Cognitive Science. PMID 30457215 DOI: 10.1111/Tops.12395  0.06
1998 El-Yaniv R, Fine S, Tishby N. Agnostic classification of markovian sequences Advances in Neural Information Processing Systems. 465-471.  0.057
1999 Gat I, Tishby N. Synergy and redundancy among brain cells of behaving monkeys Advances in Neural Information Processing Systems. 111-117.  0.052
2014 Ortega PA, Braun DA, Tishby N. Monte Carlo methods for exact & efficient solution of the generalized optimality equations Proceedings - Ieee International Conference On Robotics and Automation. 4322-4327. DOI: 10.1109/ICRA.2014.6907488  0.052
2003 Crammer K, Gilad-Bachrach R, Navot A, Tishby N. Margin analysis of the LVQ algorithm Advances in Neural Information Processing Systems.  0.051
2003 Bekkerman R, El-Yaniv R, Tishby N, Winter Y. Distributional word clusters vs. words for text categorization Journal of Machine Learning Research. 3: 1183-1208.  0.05
2015 Hecht RM, Bar-Hillel A, Tiomkin S, Levi H, Tsimhoni O, Tishby N. Cognitive workload and vocabulary sparseness: Theory and practice Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2015: 3394-3398.  0.035
2005 Gilad-Bachrach R, Navot A, Tishby N. Query by Committee made real Advances in Neural Information Processing Systems. 443-450.  0.024
2012 Fox R, Tishby N. Bounded planning in passive POMDPs Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1775-1782.  0.023
2004 Gilad-Bachrach R, Navot A, Tishby N. Bayes and Tukey meet at the center point Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3120: 549-563.  0.02
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