Saharon Rosset

93 papers A* 20A 4B 8Journal 48Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Cross Validation for Correlated Data in Classification Models. AISTATS Yuval Oren, Saharon Rosset
2025	A	`conf`	Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals. AISTATS Giora Simchoni, Saharon Rosset
2025	A*	`conf`	Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques. ICML Alon Arad, Saharon Rosset
2025	J	`jnl`	Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques. CoRR Alon Arad, Saharon Rosset
2025	J	`jnl`	MMbeddings: Parameter-Efficient, Low-Overfitting Probabilistic Embeddings Inspired by Nonlinear Mixed Models. CoRR Giora Simchoni, Saharon Rosset
2024	J	`jnl`	Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data. CoRR Giora Simchoni, Saharon Rosset
2023	J	`jnl`	Integrating Random Effects in Deep Neural Networks. J. Mach. Learn. Res. Giora Simchoni, Saharon Rosset
2023	J	`jnl`	Mixed Semi-Supervised Generalized-Linear-Regression with applications to Deep learning. CoRR Yuval Oren, Saharon Rosset
2022	J	`jnl`	Integrating Random Effects in Deep Neural Networks. CoRR Giora Simchoni, Saharon Rosset
2022	J	`jnl`	Tree-Based Models for Correlated Data. J. Mach. Learn. Res. Assaf Rabinowicz, Saharon Rosset
2021	A*	`conf`	Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks. NeurIPS Giora Simchoni, Saharon Rosset
2020	J	`jnl`	Innovation Representation of Stochastic Processes With Application to Causal Inference. IEEE Trans. Inf. Theory Amichai Painsky, Saharon Rosset, Meir Feder
2020	J	`jnl`	Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction. CoRR Yuval Oren, Saharon Rosset
2019	J	`jnl`	Lossless Compression of Random Forests. J. Comput. Sci. Technol. Amichai Painsky, Saharon Rosset
2019	J	`jnl`	Maximum Likelihood for Gaussian Process Classification and Generalized Linear Mixed Models under Case-Control Sampling. J. Mach. Learn. Res. Omer Weissbrod, Shachar Kaufman, David Golan, Saharon Rosset
2019	J	`jnl`	Rescaling and other forms of unsupervised preprocessing introduce bias into cross-validation. CoRR Amit Moscovich, Saharon Rosset
2019	J	`jnl`	Surprises in High-Dimensional Ridgeless Least Squares Interpolation. CoRR Trevor Hastie, Andrea Montanari, Saharon Rosset, Ryan J. Tibshirani
2018	J	`jnl`	Innovation Representation of Stochastic Processes with Application to Causal Inference. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2018	J	`jnl`	Linear Independent Component Analysis Over Finite Fields: Algorithms and Bounds. IEEE Trans. Signal Process. Amichai Painsky, Saharon Rosset, Meir Feder
2018	J	`jnl`	Linear Independent Component Analysis over Finite Fields: Algorithms and Bounds. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2018	J	`jnl`	Lossless (and Lossy) Compression of Random Forests. CoRR Amichai Painsky, Saharon Rosset
2018	J	`jnl`	Resolution considerations in imaging of the cortical layers. NeuroImage Shlomi Lifshits, Omri Tomer, Ittai Shamir, Daniel Barazany, Galia Tsarfaty, Saharon Rosset, Yaniv Assaf
2018	B	`conf`	Tensor Composition Analysis Detects Cell-Type Specific Associations in Epigenetic Studies. RECOMB Elior Rahmani, Regev Schweiger, Saharon Rosset, Sriram Sankararaman, Eran Halperin
2018	A*	`conf`	The Everlasting Database: Statistical Validity at a Fair Price. NeurIPS Blake E. Woodworth, Vitaly Feldman, Saharon Rosset, Nati Srebro
2018	J	`jnl`	The Everlasting Database: Statistical Validity at a Fair Price. CoRR Blake E. Woodworth, Vitaly Feldman, Saharon Rosset, Nathan Srebro
2018	J	`jnl`	Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. J. Comput. Biol. Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin
2017	J	`jnl`	Association testing of bisulfite-sequencing methylation data via a Laplace approximation. Bioinform. Omer Weissbrod, Elior Rahmani, Regev Schweiger, Saharon Rosset, Eran Halperin
2017	J	`jnl`	Cross-Validated Variable Selection in Tree-Based Methods Improves Predictive Performance. IEEE Trans. Pattern Anal. Mach. Intell. Amichai Painsky, Saharon Rosset
2017	J	`jnl`	Large Alphabet Source Coding Using Independent Component Analysis. IEEE Trans. Inf. Theory Amichai Painsky, Saharon Rosset, Meir Feder
2017	B	`conf`	Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. RECOMB Regev Schweiger, Eyal Fisher, Elior Rahmani, Liat Shenhav, Saharon Rosset, Eran Halperin
2016	B	`conf`	A Simple and Efficient Approach for Adaptive Entropy Coding over Large Alphabets. DCC Amichai Painsky, Saharon Rosset, Meir Feder
2016	—	`conf`	Binary independent component analysis: Theory, bounds and algorithms. MLSP Amichai Painsky, Saharon Rosset, Meir Feder
2016	A*	`conf`	Compressing Random Forests. ICDM Amichai Painsky, Saharon Rosset
2016	J	`jnl`	Generalized Independent Component Analysis Over Finite Alphabets. IEEE Trans. Inf. Theory Amichai Painsky, Saharon Rosset, Meir Feder
2016	J	`jnl`	Isotonic Modeling with Non-Differentiable Loss Functions with Application to Lasso Regularization. IEEE Trans. Pattern Anal. Mach. Intell. Amichai Painsky, Saharon Rosset
2016	J	`jnl`	Large Alphabet Source Coding using Independent Component Analysis. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2015	J	`jnl`	Generalized Independent Component Analysis Over Finite Alphabets. CoRR Amichai Painsky, Saharon Rosset, Meir Feder
2015	B	`conf`	Universal Compression of Memoryless Sources over Large Alphabets via Independent Component Analysis. DCC Amichai Painsky, Saharon Rosset, Meir Feder
2014	B	`conf`	Generalized binary independent component analysis. ISIT Amichai Painsky, Saharon Rosset, Meir Feder
2014	J	`jnl`	Optimal Set Cover Formulation for Exclusive Row Biclustering of Gene Expression. J. Comput. Sci. Technol. Amichai Painsky, Saharon Rosset
2013	B	`conf`	Memoryless representation of Markov processes. ISIT Amichai Painsky, Saharon Rosset, Meir Feder
2012	A*	`conf`	Exclusive Row Biclustering for Gene Expression Using a Combinatorial Auction Approach. ICDM Amichai Painsky, Saharon Rosset
2012	J	`jnl`	Leakage in data mining: Formulation, detection, and avoidance. ACM Trans. Knowl. Discov. Data Shachar Kaufman, Saharon Rosset, Claudia Perlich, Ori Stitelman
2012	J	`jnl`	Prediction-based regularization using data augmented regression. Stat. Comput. Giles Hooker, Saharon Rosset
2012	J	`jnl`	Weighted pooling - practical and cost-effective techniques for pooled high-throughput sequencing. Bioinform. David Golan, Yaniv Erlich, Saharon Rosset
2012	B	`conf`	lobSTR: A Short Tandem Repeat Profiler for Personal Genomes. RECOMB Melissa Gymrek, David Golan, Saharon Rosset, Yaniv Erlich
2011	—	`conf`	A/B Testing at SweetIM: The Importance of Proper Statistical Analysis. ICDM Workshops Slava Borodovsky, Saharon Rosset
2011	J	`jnl`	Accurate estimation of heritability in genome wide studies using random effects models. Bioinform. David Golan, Saharon Rosset
2011	J	`jnl`	Isotonic Recursive Partitioning CoRR Ronny Luss, Saharon Rosset, Moni Shahar
2011	A*	`conf`	Leakage in data mining: formulation, detection, and avoidance. KDD Shachar Kaufman, Saharon Rosset, Claudia Perlich
2011	J	`jnl`	The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. Ehud Aharoni, Hani Neuvirth, Saharon Rosset
2010	—	`conf`	Decomposing Isotonic Regression for Efficiently Solving Large Problems. NIPS Ronny Luss, Saharon Rosset, Moni Shahar
2010	J	`jnl`	Maximum likelihood estimation of locus-specific mutation rates in Y-chromosome short tandem repeats. Bioinform. Osnat Ravid-Amir, Saharon Rosset
2010	J	`jnl`	Medical data mining: insights from winning two competitions. Data Min. Knowl. Discov. Saharon Rosset, Claudia Perlich, Grzegorz Swirszcz, Prem Melville, Yan Liu
2010	J	`jnl`	Operations Research Improves Sales Force Productivity at IBM. Interfaces Rick Lawrence, Claudia Perlich, Saharon Rosset, Ildar Khabibrakhmanov, Shilpa Mahatma, Sholom M. Weiss, Matthew Callahan, Matt Collins, Alexey Ershov, Shiva Kumar
2009	J	`jnl`	Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression. J. Mach. Learn. Res. Saharon Rosset
2009	J	`jnl`	Grouped graphical Granger modeling for gene expression regulatory networks discovery. Bioinform. Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
2009	A*	`conf`	Grouped graphical Granger modeling methods for temporal causal modeling. KDD Aurélie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset
2009	—	`ch.`	Modeling Quantiles. Encyclopedia of Data Warehousing and Mining Claudia Perlich, Saharon Rosset, Bianca Zadrozny
2008	A*	`conf`	Bi-level path following for cross validated solution of kernel quantile regression. ICML Saharon Rosset
2008	J	`jnl`	Breast cancer identification: KDD CUP winner's report. SIGKDD Explor. Claudia Perlich, Prem Melville, Yan Liu, Grzegorz Swirszcz, Richard D. Lawrence, Saharon Rosset
2008	A*	`conf`	Customer targeting models using actively-selected web content. KDD Prem Melville, Saharon Rosset, Richard D. Lawrence
2007	J	`jnl`	Analytics-driven solutions for customer targeting and sales-force allocation. IBM Syst. J. 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
2007	J	`jnl`	Efficient inference on known phylogenetic trees using Poisson regression. Bioinform. Saharon Rosset
2007	A*	`conf`	High-quantile modeling for customer wallet estimation and other applications. KDD Claudia Perlich, Saharon Rosset, Richard D. Lawrence, Bianca Zadrozny
2007	A	`conf`	Identifying Bundles of Product Options using Mutual Information Clustering. SDM Claudia Perlich, Saharon Rosset
2007	—	`conf`	Looking for Great Ideas: Analyzing the Innovation Jam. WebKDD/SNAKDD Wojciech Gryc, Mary E. Helander, Richard D. Lawrence, Yan Liu, Claudia Perlich, Chandan K. Reddy, Saharon Rosset
2007	J	`jnl`	Making the most of your data: KDD Cup 2007 "How Many Ratings" winner's report. SIGKDD Explor. Saharon Rosset, Claudia Perlich, Yan Liu
2007	J	`jnl`	Ranking-based evaluation of regression models. Knowl. Inf. Syst. Saharon Rosset, Claudia Perlich, Bianca Zadrozny
2006	A*	`conf`	A new multi-view regression approach with an application to customer wallet estimation. KDD Srujana Merugu, Saharon Rosset, Claudia Perlich
2006	A	`conf`	Data-Enhanced Predictive Modeling for Sales Targeting. SDM Saharon Rosset, Richard D. Lawrence
2006	B	`conf`	Inferring Common Origins from mtDNA. RECOMB Ajay K. Royyuru, Gabriela Alexe, Daniel E. Platt, Ravi Vijaya Satya, Laxmi Parida, Saharon Rosset, Gyan Bhanot
2006	—	`ch.`	Sparse, Flexible and Efficient Modeling using L 1 Regularization. Feature Extraction Saharon Rosset, Ji Zhu
2005	A*	`conf`	ROC confidence bands: an empirical evaluation. ICML Sofus A. Macskassy, Foster J. Provost, Saharon Rosset
2005	A*	`conf`	Ranking-Based Evaluation of Regression Models. ICDM Saharon Rosset, Claudia Perlich, Bianca Zadrozny
2005	A*	`conf`	Robust boosting and its relation to bagging. KDD Saharon Rosset
2004	—	`conf`	A Method for Inferring Label Sampling Mechanisms in Semi-Supervised Learning. NIPS Saharon Rosset, Ji Zhu, Hui Zou, Trevor Hastie
2004	J	`jnl`	Boosting as a Regularized Path to a Maximum Margin Classifier. J. Mach. Learn. Res. Saharon Rosset, Ji Zhu, Trevor Hastie
2004	—	`conf`	Following Curved Regularized Optimization Solution Paths. NIPS Saharon Rosset
2004	A*	`conf`	Model selection via the AUC. ICML Saharon Rosset
2004	—	`conf`	The Entire Regularization Path for the Support Vector Machine. NIPS Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
2004	J	`jnl`	The Entire Regularization Path for the Support Vector Machine. J. Mach. Learn. Res. Trevor Hastie, Saharon Rosset, Robert Tibshirani, Ji Zhu
2003	—	`conf`	1-norm Support Vector Machines. NIPS Ji Zhu, Saharon Rosset, Trevor Hastie, Robert Tibshirani
2003	—	`conf`	Boosting and support vector machines as optimal separators. DRR Saharon Rosset, Ji Zhu, Trevor Hastie
2003	J	`jnl`	Customer Lifetime Value Models for Decision Support. Data Min. Knowl. Discov. Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik
2003	A*	`conf`	Integrating Customer Value Considerations into Predictive Modeling. ICDM Saharon Rosset, Einat Neumann
2003	—	`conf`	Margin Maximizing Loss Functions. NIPS Saharon Rosset, Ji Zhu, Trevor Hastie
2002	—	`conf`	Boosting Density Estimation. NIPS Saharon Rosset, Eran Segal
2002	A*	`conf`	Customer lifetime value modeling and its use for customer retention planning. KDD Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan
2001	A*	`conf`	Evaluation of prediction models for marketing campaigns. KDD Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan
2000	J	`jnl`	KDD-Cup 99: Knowledge Discovery In a Charitable Organization's Donor Database. SIGKDD Explor. Saharon Rosset, Aron Inger
1999	A*	`conf`	Discovery of Fraud Rules for Telecommunications - Challenges and Solutions. KDD Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak Idan, Gadi Pinkas
1998	A*	`conf`	Ranking - Methods for Flexible Evaluation and Efficient Comparison of Classification Performance. KDD Saharon Rosset