No photo of Saharon Rosset

View Scopus Profile

Saharon Rosset

Professor

 https://orcid.org/0000-0002-4458-9545
20012022

Research activity per year

If you made any changes in Pure these will be visible here soon.
Filter
Conference contribution

Search results

  • 2021

    Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks

    Simchoni, G. & Rosset, S., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 25111-25122 12 p. (Advances in Neural Information Processing Systems; vol. 30).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2018

    Tensor composition analysis detects cell-type specific associations in epigenetic studies

    Rahmani, E., Schweiger, R., Rosset, S., Sankararaman, S. & Halperin, E., 2018, Research in Computational Molecular Biology - 22nd Annual International Conference, RECOMB 2018, Proceedings. Raphael, B. J. (ed.). Springer Verlag, p. 274-275 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10812 LNBI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2017

    Compressing random forests

    Painsky, A. & Rosset, S., 31 Jan 2017, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Wu, X., Baeza-Yates, R., Domingo-Ferrer, J. & Zhou, Z-H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1131-1136 6 p. 7837961. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Using stochastic approximation techniques to efficiently construct confidence intervals for heritability

    Schweiger, R., Fisher, E., Rahmani, E., Shenhav, L., Rosset, S. & Halperin, E., 2017, Research in Computational Molecular Biology - 21st Annual International Conference, RECOMB 2017, Proceedings. Sahinalp, S. C. (ed.). Springer Verlag, p. 241-256 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10229 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2016

    A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets

    Painsky, A., Rosset, S. & Feder, M., 15 Dec 2016, Proceedings - DCC 2016: 2016 Data Compression Conference. Marcellin, M. W., Bilgin, A., Serra-Sagrista, J. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 369-378 10 p. 7786181. (Data Compression Conference Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Binary independent component analysis: Theory, bounds and algorithms

    Painsky, A., Rosset, S. & Feder, M., 8 Nov 2016, 2016 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2016 - Proceedings. Diamantaras, K., Uncini, A., Palmieri, F. A. N. & Larsen, J. (eds.). IEEE Computer Society, 7738870. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2016-November).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2015

    Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis

    Painsky, A., Rosset, S. & Feder, M., 2 Jul 2015, Proceedings - DCC 2015: 2015 Data Compression Conference. Bilgin, A., Marcellin, M. W., Serra-Sagrista, J. & Storer, J. A. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 213-222 10 p. 7149278. (Data Compression Conference Proceedings; vol. 2015-July).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2014

    Generalized binary independent component analysis

    Painsky, A., Rosset, S. & Feder, M., 2014, 2014 IEEE International Symposium on Information Theory, ISIT 2014. Institute of Electrical and Electronics Engineers Inc., p. 1326-1330 5 p. 6875048. (IEEE International Symposium on Information Theory - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2013

    Memoryless representation of Markov processes

    Painsky, A., Rosset, S. & Feder, M., 2013, 2013 IEEE International Symposium on Information Theory, ISIT 2013. p. 2294-2298 5 p. 6620635. (IEEE International Symposium on Information Theory - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2012

    Exclusive row biclustering for gene expression using a combinatorial auction approach

    Painsky, A. & Rosset, S., 2012, Proceedings - 12th IEEE International Conference on Data Mining, ICDM 2012. p. 1056-1061 6 p. 6413809. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • LobSTR: A short tandem repeat profiler for personal genomes

    Gymrek, M., Golan, D., Rosset, S. & Erlich, Y., 2012, Research in Computational Molecular Biology - 16th Annual International Conference, RECOMB 2012, Proceedings. p. 62-63 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7262 LNBI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2011

    A/B testing at SweetIM: The importance of proper statistical analysis

    Brodovsky, S. & Rosset, S., 2011, Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011. p. 733-740 8 p. 6137453. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Leakage in data mining: Formulation, detection, and avoidance

    Kaufman, S., Rosset, S. & Perlich, C., 2011, Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'11. p. 556-563 8 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2010

    Decomposing isotonic regression for efficiently solving large problems

    Luss, R., Rosset, S. & Shahar, M., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2009

    Grouped graphical granger modeling methods for temporal causal modeling

    Lozano, A. C., Abe, N., Liu, Y. & Rosset, S., 2009, KDD '09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 577-585 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Looking for great ideas: Analyzing the innovation jam

    Gryc, W., Helander, M., Lawrence, R., Liu, Y., Perlich, C., Reddy, C. & Rosset, S., 2009, Advances in Web Mining and Web Usage Analysis - 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007 and 1st Int.Workshop on Social Networks Analysis, SNA-KDD 2007, Revised papers. p. 21-39 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5439 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2008

    Bi-level path following for cross validated solution of kernel quantile regression

    Rosset, S., 2008, Proceedings of the 25th International Conference on Machine Learning. Association for Computing Machinery (ACM), p. 840-847 8 p. (Proceedings of the 25th International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Customer targeting models using actively-selected web content

    Melville, P., Rosset, S. & Lawrence, R. D., 2008, KDD 2008 - Proceedings of the 14th ACMKDD International Conference on Knowledge Discovery and Data Mining. p. 946-953 8 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2007

    High-quantile modeling for customer wallet estimation and other applications

    Perlich, C., Rosset, S., Lawrence, R. D. & Zadrozny, B., 2007, KDD-2007: Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 977-985 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Identifying bundles of product options using mutual information clustering

    Perlich, C. & Rosset, S., 2007, Proceedings of the 7th SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics (SIAM), p. 390-397 8 p. (Proceedings of the 7th SIAM International Conference on Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Looking for great ideas: Analyzing the innovation jam

    Helander, M., Lawrence, R., Liu, Y., Perlich, C., Reddy, C. & Rosset, S., 2007, Joint Ninth WebKDD and First SNA-KDD Worshop 2007 on Web Mining and Social Network Analysis. p. 66-73 8 p. (Joint Ninth WebKDD and First SNA-KDD 2007 Workshop on Web Mining and Social Network Analysis).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • ℓ Regularization in infinite dimensional feature spaces

    Rosset, S., Swirszcz, G., Srebro, N. & Zhu, J., 2007, Learning Theory - 20th Annual Conference on Learning Theory, COLT 2007, Proceedings. p. 544-558 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4539 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2006

    A new multi-view regression approach with an application to customer wallet estimation

    Merugu, S., Rosset, S. & Perlich, C., 2006, KDD 2006: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 656-661 6 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Data-enhanced predictive modeling for sales targeting

    Rosset, S. & Lawrence, R. D., 2006, Proceedings of the Sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, p. 569-573 5 p. (Proceedings of the Sixth SIAM International Conference on Data Mining; vol. 2006).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Inferring common origins from mtDNA

    Royyuru, A. K., Alexe, G., Platt, D., Vijaya-Satya, R., Parida, L., Rosset, S. & Bhanot, G., 2006, Research in Computational Molecular Biology - 10th Annual International Conference, RECOMB 2006, Proceedings. p. 246-247 2 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3909 LNBI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2005

    A method for inferring label sampling mechanisms in semi-supervised learning

    Rosset, S., Zhu, J., Zou, H. & Hastie, T., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Following curved regularized optimization solution paths

    Rosset, S., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Ranking-based evaluation of regression models

    Rosset, S., Perlich, C. & Zadrozny, B., 2005, Proceedings - Fifth IEEE International Conference on Data Mining, ICDM 2005. p. 370-377 8 p. 1565701. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • ROC confidence bands: An empirical evaluation

    Macskassy, S. A., Provost, F. & Rosset, S., 2005, ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning. Raedt, L. & Wrobel, S. (eds.). p. 537-544 8 p. (ICML 2005 - Proceedings of the 22nd International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • The entire regularization path for the support vector machine

    Hastie, T., Rosset, S., Tibshirani, R. & Zhu, J., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2004

    1-norm support vector machines

    Zhu, J., Rosset, S., Hastie, T. & Tibshirani, R., 2004, Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference, NIPS 2003. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Margin maximizing loss functions

    Rosset, S., Zhu, J. & Hastie, T., 2004, Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference, NIPS 2003. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Model selection via the AUC

    Rosset, S., 2004, Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004. Greiner, R. & Schuurmans, D. (eds.). p. 703-710 8 p. (Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2003

    Boosting density estimation

    Rosset, S. & Segal, E., 2003, Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Integrating customer value considerations into predictive modeling

    Rosset, S. & Neumann, E., 2003, Proceedings - 3rd IEEE International Conference on Data Mining, ICDM 2003. p. 283-290 8 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2001

    Evaluation of prediction models for marketing campaigns

    Rosset, S., Neumann, E., Eick, U., Vatnik, N. & Idan, I., 2001, Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Provost, F., Srikant, R., Schkolnick, M. & Lee, D. (eds.). Association for Computing Machinery (ACM), p. 456-461 6 p. (Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review