Saharon Rosset

David Golan, Yaniv Erlich, Saharon Rosset: Weighted pooling - practical and cost-effective techniques for pooled high-throughput sequencing. Bioinformatics 28(12): 197-206 (2012)

Giles Hooker, Saharon Rosset: Prediction-based regularization using data augmented regression. Statistics and Computing 22(1): 237-249 (2012)

Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman: Leakage in data mining: Formulation, detection, and avoidance. TKDD 6(4): 15 (2012)

Amichai Painsky, Saharon Rosset: Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. ICDM 2012: 1056-1061

Melissa Gymrek, David Golan, Saharon Rosset, Yaniv Erlich: lobSTR: A Short Tandem Repeat Profiler for Personal Genomes. RECOMB 2012: 62-63

David Golan, Saharon Rosset: Accurate estimation of heritability in genome wide studies using random effects models. Bioinformatics [ISMB/ECCB] 27(13): 317-323 (2011)

Ehud Aharoni, Hani Neuvirth, Saharon Rosset: The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery. IEEE/ACM Trans. Comput. Biology Bioinform. 8(5): 1431-1437 (2011)

Slava Borodovsky, Saharon Rosset: A/B Testing at SweetIM: The Importance of Proper Statistical Analysis. ICDM Workshops 2011: 733-740

Shachar Kaufman, Saharon Rosset, Claudia Perlich: Leakage in data mining: formulation, detection, and avoidance. KDD 2011: 556-563

Ronny Luss, Saharon Rosset, Moni Shahar: Isotonic Recursive Partitioning. CoRR abs/1102.5496 (2011)

Osnat Ravid-Amir, Saharon Rosset: Maximum likelihood estimation of locus-specific mutation rates in Y-chromosome short tandem repeats. Bioinformatics 26(18) (2010)

Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu: Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. 20(3): 439-468 (2010)

Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom M. Weiss, Matthew Callahan, Matt Collins, Alexey Ershov, Shiva Kumar: Operations Research Improves Sales Force Productivity at IBM. Interfaces 40(1): 33-46 (2010)

Ronny Luss, Saharon Rosset, Moni Shahar: Decomposing Isotonic Regression for Efficiently Solving Large Problems. NIPS 2010: 1513-1521

Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset: Grouped graphical Granger modeling for gene expression regulatory networks discovery. Bioinformatics 25(12) (2009)

Saharon Rosset: Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression. Journal of Machine Learning Research 10: 2473-2505 (2009)

Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset: Grouped graphical Granger modeling methods for temporal causal modeling. KDD 2009: 577-586

Claudia Perlich, Saharon Rosset, Bianca Zadrozny: Modeling Quantiles. Encyclopedia of Data Warehousing and Mining 2009: 1324-1329

Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset: Breast cancer identification: KDD CUP winner's report. SIGKDD Explorations 10(2): 39-42 (2008)

Saharon Rosset: Bi-level path following for cross validated solution of kernel quantile regression. ICML 2008: 840-847

Prem Melville, Saharon Rosset, Richard D. Lawrence: Customer targeting models using actively-selected web content. KDD 2008: 946-953

Saharon Rosset: Efficient inference on known phylogenetic trees using Poisson regression. Bioinformatics 23(2): 142-147 (2007)

Richard D. Lawrence, Claudia Perlich, Saharon Rosset, Jorge Arroyo, Matthew Callahan, J. Matthew Collins, Alexey Ershov, Sheri Feinzig, Ildar Khabibrakhmanov, Shilpa Mahatma, Mark Niemaszyk, Sholom M. Weiss: Analytics-driven solutions for customer targeting and sales-force allocation. IBM Systems Journal 46(4): 797-816 (2007)

Saharon Rosset, Claudia Perlich, Bianca Zadrozny: Ranking-based evaluation of regression models. Knowl. Inf. Syst. 12(3): 331-353 (2007)

Saharon Rosset, Claudia Perlich, Yan Liu: Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explorations 9(2): 66-69 (2007)

Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu: l₁ Regularization in Infinite Dimensional Feature Spaces. COLT 2007: 544-558

Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan Reddy, Saharon Rosset: Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNA-KDD 2007: 21-39

Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny: High-quantile modeling for customer wallet estimation and other applications. KDD 2007: 977-985

Claudia Perlich, Saharon Rosset: Identifying Bundles of Product Options using Mutual Information Clustering. SDM 2007

Srujana Merugu, Saharon Rosset, Claudia Perlich: A new multi-view regression approach with an application to customer wallet estimation. KDD 2006: 656-661

Ajay K. Royyuru, Gabriela Alexe, Daniel E. Platt, Ravi Vijaya Satya, Laxmi Parida, Saharon Rosset, Gyan Bhanot: Inferring Common Origins from mtDNA. RECOMB 2006: 246-247

Saharon Rosset, Richard D. Lawrence: Data-Enhanced Predictive Modeling for Sales Targeting. SDM 2006

Saharon Rosset, Claudia Perlich, Bianca Zadrozny: Ranking-Based Evaluation of Regression Models. ICDM 2005: 370-377

Sofus A. Macskassy, Foster J. Provost, Saharon Rosset: ROC confidence bands: an empirical evaluation. ICML 2005: 537-544

Saharon Rosset: Robust boosting and its relation to bagging. KDD 2005: 249-255

Saharon Rosset, Ji Zhu, Trevor Hastie: Boosting as a Regularized Path to a Maximum Margin Classifier. Journal of Machine Learning Research 5: 941-973 (2004)

Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu: The Entire Regularization Path for the Support Vector Machine. Journal of Machine Learning Research 5: 1391-1415 (2004)

Saharon Rosset: Model selection via the AUC. ICML 2004

Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu: The Entire Regularization Path for the Support Vector Machine. NIPS 2004

Saharon Rosset: Following Curved Regularized Optimization Solution Paths. NIPS 2004

Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie: A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. NIPS 2004

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik: Customer Lifetime Value Models for Decision Support. Data Min. Knowl. Discov. 7(3): 321-339 (2003)

Saharon Rosset, Ji Zhu, Trevor Hastie: Boosting and support vector machines as optimal separators. DRR 2003: 1-7

Saharon Rosset, Einat Neumann: Integrating Customer Value Considerations into Predictive Modeling. ICDM 2003: 283-290

Saharon Rosset, Ji Zhu, Trevor Hastie: Margin Maximizing Loss Functions. NIPS 2003

Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani: 1-norm Support Vector Machines. NIPS 2003

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan: Customer lifetime value modeling and its use for customer retention planning. KDD 2002: 332-340

Saharon Rosset, Eran Segal: Boosting Density Estimation. NIPS 2002: 641-648

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan: Evaluation of prediction models for marketing campaigns. KDD 2001: 456-461

Saharon Rosset, Aron Inger: KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database. SIGKDD Explorations 1(2): 85-90 (2000)

Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas: Discovery of Fraud Rules for Telecommunications - Challenges and Solutions. KDD 1999: 409-413

Saharon Rosset: Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance. KDD 1998: 324-328