Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance. - Saharon Rosset (KDD, 1998)

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

KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database. - Saharon Rosset; Aron Inger (SIGKDD Explor., 2000)

Evaluation of prediction models for marketing campaigns. - Saharon Rosset; Einat Neumann; Uri Eick; Nurit Vatnik; Yizhak Idan (KDD, 2001)

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

Boosting Density Estimation. - Saharon Rosset; Eran Segal (NIPS, 2002)

Boosting and support vector machines as optimal separators. - Saharon Rosset; Ji Zhu 001; Trevor Hastie (DRR, 2003)

Integrating Customer Value Considerations into Predictive Modeling. - Saharon Rosset; Einat Neumann (ICDM, 2003)

Margin Maximizing Loss Functions. - Saharon Rosset; Ji Zhu 001; Trevor Hastie (NIPS, 2003)

1-norm Support Vector Machines. - Ji Zhu 001; Saharon Rosset; Trevor Hastie; Robert Tibshirani (NIPS, 2003)

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

Model selection via the AUC. - Saharon Rosset (ICML, 2004)

Following Curved Regularized Optimization Solution Paths. - Saharon Rosset (NIPS, 2004)

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. - Saharon Rosset; Ji Zhu 001; Hui Zou; Trevor Hastie (NIPS, 2004)

The Entire Regularization Path for the Support Vector Machine. - Trevor Hastie; Saharon Rosset; Robert Tibshirani; Ji Zhu 001 (J. Mach. Learn. Res., 2004)

Boosting as a Regularized Path to a Maximum Margin Classifier. - Saharon Rosset; Ji Zhu 001; Trevor Hastie (J. Mach. Learn. Res., 2004)

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

Robust boosting and its relation to bagging. - Saharon Rosset (KDD, 2005)

Sparse, Flexible and Efficient Modeling using L 1 Regularization. - Saharon Rosset; Ji Zhu (Feature Extraction, 2006)

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

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

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

l1 Regularization in Infinite Dimensional Feature Spaces. - Saharon Rosset; Grzegorz Swirszcz; Nathan Srebro; Ji Zhu (COLT, 2007)

Looking for Great Ideas: Analyzing the Innovation Jam. - Wojciech Gryc; Mary E. Helander; Richard D. Lawrence; Yan Liu 002; Claudia Perlich; Chandan K. Reddy; Saharon Rosset (WebKDD/SNA-KDD, 2007)

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

Identifying Bundles of Product Options using Mutual Information Clustering. - Claudia Perlich; Saharon Rosset (SDM, 2007)

Efficient inference on known phylogenetic trees using Poisson regression. - Saharon Rosset (Bioinform., 2007)

Analytics-driven solutions for customer targeting and sales-force allocation. - 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 (IBM Syst. J., 2007)

Ranking-based evaluation of regression models. - Saharon Rosset; Claudia Perlich; Bianca Zadrozny (Knowl. Inf. Syst., 2007)

Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. - Saharon Rosset; Claudia Perlich; Yan Liu 002 (SIGKDD Explor., 2007)

Customer targeting models using actively-selected web content. - Prem Melville; Saharon Rosset; Richard D. Lawrence (KDD, 2008)

Breast cancer identification: KDD CUP winner's report. - Claudia Perlich; Prem Melville; Yan Liu 002; Grzegorz Swirszcz; Richard D. Lawrence; Saharon Rosset (SIGKDD Explor., 2008)

Grouped graphical Granger modeling methods for temporal causal modeling. - Aurélie C. Lozano; Naoki Abe; Yan Liu 002; Saharon Rosset (KDD, 2009)

Grouped graphical Granger modeling for gene expression regulatory networks discovery. - Aurélie C. Lozano; Naoki Abe; Yan Liu 002; Saharon Rosset (Bioinform., 2009)

Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression. - Saharon Rosset (J. Mach. Learn. Res., 2009)

Modeling Quantiles. - Claudia Perlich; Saharon Rosset; Bianca Zadrozny (Encyclopedia of Data Warehousing and Mining, 2009)

Decomposing Isotonic Regression for Efficiently Solving Large Problems. - Ronny Luss; Saharon Rosset; Moni Shahar (NIPS, 2010)

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

Medical data mining: insights from winning two competitions. - Saharon Rosset; Claudia Perlich; Grzegorz Swirszcz; Prem Melville; Yan Liu 002 (Data Min. Knowl. Discov., 2010)

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

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

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

Accurate estimation of heritability in genome wide studies using random effects models. - David Golan; Saharon Rosset (Bioinform., 2011)

Isotonic Recursive Partitioning - Ronny Luss; Saharon Rosset; Moni Shahar (CoRR, 2011)

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

Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. - Amichai Painsky; Saharon Rosset (ICDM, 2012)

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

Weighted pooling - practical and cost-effective techniques for pooled high-throughput sequencing. - David Golan; Yaniv Erlich; Saharon Rosset (Bioinform., 2012)

Prediction-based regularization using data augmented regression. - Giles Hooker; Saharon Rosset (Stat. Comput., 2012)

Leakage in data mining: Formulation, detection, and avoidance. - Shachar Kaufman; Saharon Rosset; Claudia Perlich; Ori Stitelman (ACM Trans. Knowl. Discov. Data, 2012)

Memoryless representation of Markov processes. - Amichai Painsky; Saharon Rosset; Meir Feder (ISIT, 2013)

Generalized binary independent component analysis. - Amichai Painsky; Saharon Rosset; Meir Feder (ISIT, 2014)

Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression. - Amichai Painsky; Saharon Rosset (J. Comput. Sci. Technol., 2014)

Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. - Amichai Painsky; Saharon Rosset; Meir Feder (DCC, 2015)

A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. - Amichai Painsky; Saharon Rosset; Meir Feder (DCC, 2016)

Compressing Random Forests. - Amichai Painsky; Saharon Rosset (ICDM, 2016)

Binary independent component analysis: Theory, bounds and algorithms. - Amichai Painsky; Saharon Rosset; Meir Feder (MLSP, 2016)

Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization. - Amichai Painsky; Saharon Rosset (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Generalized Independent Component Analysis Over Finite Alphabets. - Amichai Painsky; Saharon Rosset; Meir Feder (IEEE Trans. Inf. Theory, 2016)

Association testing of bisulfite-sequencing methylation data via a Laplace approximation. - Omer Weissbrod; Elior Rahmani; Regev Schweiger; Saharon Rosset; Eran Halperin (Bioinform., 2017)

Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance. - Amichai Painsky; Saharon Rosset (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Large Alphabet Source Coding Using Independent Component Analysis. - Amichai Painsky; Saharon Rosset; Meir Feder (IEEE Trans. Inf. Theory, 2017)

The Everlasting Database: Statistical Validity at a Fair Price. - Blake E. Woodworth; Vitaly Feldman; Saharon Rosset; Nati Srebro (NeurIPS, 2018)

Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies. - Elior Rahmani; Regev Schweiger; Saharon Rosset; Sriram Sankararaman; Eran Halperin (RECOMB, 2018)

Lossless (and Lossy) Compression of Random Forests. - Amichai Painsky; Saharon Rosset (CoRR, 2018)

Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. - Regev Schweiger; Eyal Fisher; Elior Rahmani; Liat Shenhav; Saharon Rosset; Eran Halperin (J. Comput. Biol., 2018)

Resolution considerations in imaging of the cortical layers. - Shlomi Lifshits; Omri Tomer; Ittai Shamir; Daniel Barazany; Galia Tsarfaty; Saharon Rosset; Yaniv Assaf (NeuroImage, 2018)

Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. - Amichai Painsky; Saharon Rosset; Meir Feder (IEEE Trans. Signal Process., 2018)

Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation. - Amit Moscovich; Saharon Rosset (CoRR, 2019)

Surprises in High-Dimensional Ridgeless Least Squares Interpolation. - Trevor Hastie; Andrea Montanari; Saharon Rosset; Ryan J. Tibshirani (CoRR, 2019)

Lossless Compression of Random Forests. - Amichai Painsky; Saharon Rosset (J. Comput. Sci. Technol., 2019)

Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling. - Omer Weissbrod; Shachar Kaufman; David Golan; Saharon Rosset (J. Mach. Learn. Res., 2019)

Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction. - Yuval Oren; Saharon Rosset (CoRR, 2020)

Innovation Representation of Stochastic Processes With Application to Causal Inference. - Amichai Painsky; Saharon Rosset; Meir Feder (IEEE Trans. Inf. Theory, 2020)

Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks. - Giora Simchoni; Saharon Rosset (NeurIPS, 2021)

Tree-Based Models for Correlated Data. - Assaf Rabinowicz; Saharon Rosset (J. Mach. Learn. Res., 2022)

Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep learning. - Yuval Oren; Saharon Rosset (CoRR, 2023)

Integrating Random Effects in Deep Neural Networks. - Giora Simchoni; Saharon Rosset (J. Mach. Learn. Res., 2023)

Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data. - Giora Simchoni; Saharon Rosset (CoRR, 2024)

Cross Validation for Correlated Data in Classification Models. - Yuval Oren; Saharon Rosset (AISTATS, 2025)

Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals. - Giora Simchoni; Saharon Rosset (AISTATS, 2025)