Saharon Rosset

Publication Activity (10 Years)

Years Active: 1998-2023
Publications (10 Years): 30

Top Topics

Stochastic Approximation

Independent Component Analysis

Top Venues

IEEE Trans. Inf. Theory

J. Mach. Learn. Res.

Publications

Yuval Oren, Saharon Rosset
Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep learning. CoRR (2023)
Giora Simchoni, Saharon Rosset
Integrating Random Effects in Deep Neural Networks. J. Mach. Learn. Res. 24 (2023)
Giora Simchoni, Saharon Rosset
Integrating Random Effects in Deep Neural Networks. CoRR (2022)
Assaf Rabinowicz, Saharon Rosset
Tree-Based Models for Correlated Data. J. Mach. Learn. Res. 23 (2022)
Giora Simchoni, Saharon Rosset
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks. NeurIPS (2021)
Yuval Oren, Saharon Rosset
Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction. CoRR (2020)
Amichai Painsky, Saharon Rosset, Meir Feder
Innovation Representation of Stochastic Processes With Application to Causal Inference. IEEE Trans. Inf. Theory 66 (2) (2020)
Amit Moscovich, Saharon Rosset
Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation. CoRR (2019)
Omer Weissbrod, Shachar Kaufman, David Golan, Saharon Rosset
Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling. J. Mach. Learn. Res. 20 (2019)
Amichai Painsky, Saharon Rosset
Lossless Compression of Random Forests. J. Comput. Sci. Technol. 34 (2) (2019)
Trevor Hastie, Andrea Montanari, Saharon Rosset, Ryan J. Tibshirani
Surprises in High-Dimensional Ridgeless Least Squares Interpolation. CoRR (2019)
Blake E. Woodworth, Vitaly Feldman, Saharon Rosset, Nati Srebro
The Everlasting Database: Statistical Validity at a Fair Price. NeurIPS (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Innovation Representation of Stochastic Processes with Application to Causal Inference. CoRR (2018)
Shlomi Lifshits, Omri Tomer, Ittai Shamir, Daniel Barazany, Galia Tsarfaty, Saharon Rosset, Yaniv Assaf
Resolution considerations in imaging of the cortical layers. NeuroImage 164 (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. IEEE Trans. Signal Process. 66 (22) (2018)
Amichai Painsky, Saharon Rosset, Meir Feder
Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. CoRR (2018)
Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin
Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. J. Comput. Biol. 25 (7) (2018)
Amichai Painsky, Saharon Rosset
Lossless (and Lossy) Compression of Random Forests. CoRR (2018)
Elior Rahmani, Regev Schweiger, Saharon Rosset, Sriram Sankararaman, Eran Halperin
Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies. RECOMB (2018)
Blake E. Woodworth, Vitaly Feldman, Saharon Rosset, Nathan Srebro
The Everlasting Database: Statistical Validity at a Fair Price. CoRR (2018)
Omer Weissbrod, Elior Rahmani, Regev Schweiger, Saharon Rosset, Eran Halperin
Association testing of bisulfite-sequencing methylation data via a Laplace approximation. Bioinform. 33 (14) (2017)
Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin
Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. RECOMB (2017)
Amichai Painsky, Saharon Rosset
Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance. IEEE Trans. Pattern Anal. Mach. Intell. 39 (11) (2017)
Amichai Painsky, Saharon Rosset, Meir Feder
Large Alphabet Source Coding Using Independent Component Analysis. IEEE Trans. Inf. Theory 63 (10) (2017)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized Independent Component Analysis Over Finite Alphabets. IEEE Trans. Inf. Theory 62 (2) (2016)
Amichai Painsky, Saharon Rosset
Compressing Random Forests. ICDM (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Large Alphabet Source Coding using Independent Component Analysis. CoRR (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Binary independent component analysis: Theory, bounds and algorithms. MLSP (2016)
Amichai Painsky, Saharon Rosset
Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 38 (2) (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. DCC (2016)
Amichai Painsky, Saharon Rosset, Meir Feder
Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. DCC (2015)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized Independent Component Analysis Over Finite Alphabets. CoRR (2015)
Amichai Painsky, Saharon Rosset
Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression. J. Comput. Sci. Technol. 29 (3) (2014)
Amichai Painsky, Saharon Rosset, Meir Feder
Generalized binary independent component analysis. ISIT (2014)
Amichai Painsky, Saharon Rosset, Meir Feder
Memoryless representation of Markov processes. ISIT (2013)
Amichai Painsky, Saharon Rosset
Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. ICDM (2012)
Melissa Gymrek, David Golan, Saharon Rosset, Yaniv Erlich
lobSTR: A Short Tandem Repeat Profiler for Personal Genomes. RECOMB (2012)
David Golan, Yaniv Erlich, Saharon Rosset
Weighted pooling - practical and cost-effective techniques for pooled high-throughput sequencing. Bioinform. 28 (12) (2012)
Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman
Leakage in data mining: Formulation, detection, and avoidance. ACM Trans. Knowl. Discov. Data 6 (4) (2012)
Giles Hooker, Saharon Rosset
Prediction-based regularization using data augmented regression. Stat. Comput. 22 (1) (2012)
David Golan, Saharon Rosset
Accurate estimation of heritability in genome wide studies using random effects models. Bioinform. 27 (13) (2011)
Slava Borodovsky, Saharon Rosset
A/B Testing at SweetIM: The Importance of Proper Statistical Analysis. ICDM Workshops (2011)
Shachar Kaufman, Saharon Rosset, Claudia Perlich
Leakage in data mining: formulation, detection, and avoidance. KDD (2011)
Ronny Luss, Saharon Rosset, Moni Shahar
Isotonic Recursive Partitioning CoRR (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. Biol. Bioinform. 8 (5) (2011)
Osnat Ravid-Amir, Saharon Rosset
Maximum likelihood estimation of locus-specific mutation rates in Y-chromosome short tandem repeats. Bioinform. 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) (2010)
Ronny Luss, Saharon Rosset, Moni Shahar
Decomposing Isotonic Regression for Efficiently Solving Large Problems. NIPS (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) (2010)
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
Grouped graphical Granger modeling methods for temporal causal modeling. KDD (2009)
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
Grouped graphical Granger modeling for gene expression regulatory networks discovery. Bioinform. 25 (12) (2009)
Saharon Rosset
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression. J. Mach. Learn. Res. 10 (2009)
Saharon Rosset
Bi-level path following for cross validated solution of kernel quantile regression. ICML (2008)
Prem Melville, Saharon Rosset, Richard D. Lawrence
Customer targeting models using actively-selected web content. KDD (2008)
Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. 10 (2) (2008)
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 Syst. J. 46 (4) (2007)
Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
High-quantile modeling for customer wallet estimation and other applications. KDD (2007)
Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset
Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNA-KDD (2007)
Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu
Regularization in Infinite Dimensional Feature Spaces. COLT (2007)
Claudia Perlich, Saharon Rosset
Identifying Bundles of Product Options using Mutual Information Clustering. SDM (2007)
Saharon Rosset, Claudia Perlich, Bianca Zadrozny
Ranking-based evaluation of regression models. Knowl. Inf. Syst. 12 (3) (2007)
Saharon Rosset
Efficient inference on known phylogenetic trees using Poisson regression. Bioinform. 23 (2) (2007)
Saharon Rosset, Claudia Perlich, Yan Liu
Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explor. 9 (2) (2007)
Ajay K. Royyuru, Gabriela Alexe, Daniel E. Platt, Ravi Vijaya Satya, Laxmi Parida, Saharon Rosset, Gyan Bhanot
Inferring Common Origins from mtDNA. RECOMB (2006)
Saharon Rosset, Richard D. Lawrence
Data-Enhanced Predictive Modeling for Sales Targeting. SDM (2006)
Srujana Merugu, Saharon Rosset, Claudia Perlich
A new multi-view regression approach with an application to customer wallet estimation. KDD (2006)
Saharon Rosset, Claudia Perlich, Bianca Zadrozny
Ranking-Based Evaluation of Regression Models. ICDM (2005)
Sofus A. Macskassy, Foster J. Provost, Saharon Rosset
ROC confidence bands: an empirical evaluation. ICML (2005)
Saharon Rosset
Robust boosting and its relation to bagging. KDD (2005)
Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
The Entire Regularization Path for the Support Vector Machine. J. Mach. Learn. Res. 5 (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
Model selection via the AUC. ICML (2004)
Saharon Rosset, Ji Zhu, Trevor Hastie
Boosting as a Regularized Path to a Maximum Margin Classifier. J. Mach. Learn. Res. 5 (2004)
Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. NIPS (2004)
Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani
1-norm Support Vector Machines. NIPS (2003)
Saharon Rosset, Ji Zhu, Trevor Hastie
Boosting and support vector machines as optimal separators. DRR (2003)
Saharon Rosset, Einat Neumann
Integrating Customer Value Considerations into Predictive Modeling. ICDM (2003)
Saharon Rosset, Ji Zhu, Trevor Hastie
Margin Maximizing Loss Functions. NIPS (2003)
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik
Customer Lifetime Value Models for Decision Support. Data Min. Knowl. Discov. 7 (3) (2003)
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan
Customer lifetime value modeling and its use for customer retention planning. KDD (2002)
Saharon Rosset, Eran Segal
Boosting Density Estimation. NIPS (2002)
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan
Evaluation of prediction models for marketing campaigns. KDD (2001)
Saharon Rosset, Aron Inger
KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database. SIGKDD Explor. 1 (2) (2000)
Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas
Discovery of Fraud Rules for Telecommunications - Challenges and Solutions. KDD (1999)
Saharon Rosset
Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance. KDD (1998)