Saharon Rosset

According to our database, Saharon Rosset authored at least 79 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data.

Giora Simchoni, Saharon Rosset

CoRR, 2024

2023

Integrating Random Effects in Deep Neural Networks.

Giora Simchoni, Saharon Rosset

J. Mach. Learn. Res., 2023

Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep learning.

Yuval Oren, Saharon Rosset

CoRR, 2023

2022

Tree-Based Models for Correlated Data.

Assaf Rabinowicz, Saharon Rosset

J. Mach. Learn. Res., 2022

2021

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

Giora Simchoni, Saharon Rosset

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Innovation Representation of Stochastic Processes With Application to Causal Inference.

Amichai Painsky, Saharon Rosset, Meir Feder

IEEE Trans. Inf. Theory, 2020

Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction.

Yuval Oren, Saharon Rosset

CoRR, 2020

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

Lossless Compression of Random Forests.

Amichai Painsky, Saharon Rosset

J. Comput. Sci. Technol., 2019

Surprises in High-Dimensional Ridgeless Least Squares Interpolation.

Trevor Hastie, Andrea Montanari, Saharon Rosset, Ryan J. Tibshirani

CoRR, 2019

Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation.

Amit Moscovich, Saharon Rosset

CoRR, 2019

2018

Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds.

Amichai Painsky, Saharon Rosset, Meir Feder

IEEE Trans. Signal Process., 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

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

Lossless (and Lossy) Compression of Random Forests.

Amichai Painsky, Saharon Rosset

CoRR, 2018

Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies.

Elior Rahmani, Regev Schweiger, Saharon Rosset, Sriram Sankararaman, Eran Halperin

Proceedings of the Research in Computational Molecular Biology, 2018

The Everlasting Database: Statistical Validity at a Fair Price.

Blake E. Woodworth, Vitaly Feldman, Saharon Rosset, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Large Alphabet Source Coding Using Independent Component Analysis.

Amichai Painsky, Saharon Rosset, Meir Feder

IEEE Trans. Inf. Theory, 2017

Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance.

Amichai Painsky, Saharon Rosset

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Association testing of bisulfite-sequencing methylation data via a Laplace approximation.

Omer Weissbrod, Elior Rahmani, Regev Schweiger, Saharon Rosset, Eran Halperin

Bioinform., 2017

2016

Generalized Independent Component Analysis Over Finite Alphabets.

Amichai Painsky, Saharon Rosset, Meir Feder

IEEE Trans. Inf. Theory, 2016

Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization.

Amichai Painsky, Saharon Rosset

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Binary independent component analysis: Theory, bounds and algorithms.

Amichai Painsky, Saharon Rosset, Meir Feder

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Compressing Random Forests.

Amichai Painsky, Saharon Rosset

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

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

Amichai Painsky, Saharon Rosset, Meir Feder

Proceedings of the 2016 Data Compression Conference, 2016

2015

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

Amichai Painsky, Saharon Rosset, Meir Feder

Proceedings of the 2015 Data Compression Conference, 2015

2014

Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression.

Amichai Painsky, Saharon Rosset

J. Comput. Sci. Technol., 2014

Generalized binary independent component analysis.

Amichai Painsky, Saharon Rosset, Meir Feder

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Memoryless representation of Markov processes.

Amichai Painsky, Saharon Rosset, Meir Feder

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

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

Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman

ACM Trans. Knowl. Discov. Data, 2012

Prediction-based regularization using data augmented regression.

Giles Hooker, Saharon Rosset

Stat. Comput., 2012

Weighted pooling - practical and cost-effective techniques for pooled high-throughput sequencing.

David Golan, Yaniv Erlich, Saharon Rosset

Bioinform., 2012

lobSTR: A Short Tandem Repeat Profiler for Personal Genomes.

Melissa Gymrek, David Golan, Saharon Rosset, Yaniv Erlich

Proceedings of the Research in Computational Molecular Biology, 2012

Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach.

Amichai Painsky, Saharon Rosset

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

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

Isotonic Recursive Partitioning

Ronny Luss, Saharon Rosset, Moni Shahar

CoRR, 2011

Accurate estimation of heritability in genome wide studies using random effects models.

David Golan, Saharon Rosset

Bioinform., 2011

Leakage in data mining: formulation, detection, and avoidance.

Shachar Kaufman, Saharon Rosset, Claudia Perlich

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

A/B Testing at SweetIM: The Importance of Proper Statistical Analysis.

Slava Borodovsky, Saharon Rosset

Proceedings of the Data Mining Workshops (ICDMW), 2011

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

Medical data mining: insights from winning two competitions.

Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu

Data Min. Knowl. Discov., 2010

Maximum likelihood estimation of locus-specific mutation rates in Y-chromosome short tandem repeats.

Osnat Ravid-Amir, Saharon Rosset

Bioinform., 2010

Decomposing Isotonic Regression for Efficiently Solving Large Problems.

Ronny Luss, Saharon Rosset, Moni Shahar

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Modeling Quantiles.

Claudia Perlich, Saharon Rosset, Bianca Zadrozny

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression.

Saharon Rosset

J. Mach. Learn. Res., 2009

Grouped graphical Granger modeling for gene expression regulatory networks discovery.

Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset

Bioinform., 2009

Grouped graphical Granger modeling methods for temporal causal modeling.

Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

2008

Breast cancer identification: KDD CUP winner's report.

Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset

SIGKDD Explor., 2008

Customer targeting models using actively-selected web content.

Prem Melville, Saharon Rosset, Richard D. Lawrence

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

2007

Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report.

Saharon Rosset, Claudia Perlich, Yan Liu

SIGKDD Explor., 2007

Ranking-based evaluation of regression models.

Saharon Rosset, Claudia Perlich, Bianca Zadrozny

Knowl. Inf. Syst., 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

Efficient inference on known phylogenetic trees using Poisson regression.

Saharon Rosset

Bioinform., 2007

Identifying Bundles of Product Options using Mutual Information Clustering.

Claudia Perlich, Saharon Rosset

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

High-quantile modeling for customer wallet estimation and other applications.

Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Looking for Great Ideas: Analyzing the Innovation Jam.

Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

<i>l</i>₁ Regularization in Infinite Dimensional Feature Spaces.

Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

Data-Enhanced Predictive Modeling for Sales Targeting.

Saharon Rosset, Richard D. Lawrence

Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Inferring Common Origins from mtDNA.

Ajay K. Royyuru, Gabriela Alexe, Daniel E. Platt, Ravi Vijaya Satya, Laxmi Parida, Saharon Rosset, Gyan Bhanot

Proceedings of the Research in Computational Molecular Biology, 2006

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

Srujana Merugu, Saharon Rosset, Claudia Perlich

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Sparse, Flexible and Efficient Modeling using L 1 Regularization.

Saharon Rosset, Ji Zhu

Proceedings of the Feature Extraction - Foundations and Applications, 2006

2005

Robust boosting and its relation to bagging.

Saharon Rosset

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

ROC confidence bands: an empirical evaluation.

Sofus A. Macskassy, Foster J. Provost, Saharon Rosset

Proceedings of the Machine Learning, 2005

2004

Boosting as a Regularized Path to a Maximum Margin Classifier.

Saharon Rosset, Ji Zhu, Trevor Hastie

J. Mach. Learn. Res., 2004

The Entire Regularization Path for the Support Vector Machine.

Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu

J. Mach. Learn. Res., 2004

A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning.

Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Following Curved Regularized Optimization Solution Paths.

Saharon Rosset

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Model selection via the AUC.

Saharon Rosset

Proceedings of the Machine Learning, 2004

2003

Customer Lifetime Value Models for Decision Support.

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik

Data Min. Knowl. Discov., 2003

1-norm Support Vector Machines.

Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Margin Maximizing Loss Functions.

Saharon Rosset, Ji Zhu, Trevor Hastie

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Integrating Customer Value Considerations into Predictive Modeling.

Saharon Rosset, Einat Neumann

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Boosting and support vector machines as optimal separators.

Saharon Rosset, Ji Zhu, Trevor Hastie

Proceedings of the Document Recognition and Retrieval X, 2003

2002

Boosting Density Estimation.

Saharon Rosset, Eran Segal

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Customer lifetime value modeling and its use for customer retention planning.

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

2001

Evaluation of prediction models for marketing campaigns.

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

2000

KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database.

Saharon Rosset, Aron Inger

SIGKDD Explor., 2000

1999

Discovery of Fraud Rules for Telecommunications - Challenges and Solutions.

Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas

Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1999

1998

Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance.

Saharon Rosset

Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998