Robert Tibshirani

65 papers A* 3A 1Journal 48Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Forward Stepwise: A Method for High Sparsity Regression. J. Mach. Learn. Res. Ivy Zhang, Robert Tibshirani
2026	J	`jnl`	Structure-preserving multivariate hypothesis testing for mass spectrometry imaging and single-cell data. Bioinform. Keziah E. Liebenberg, Erin Craig, Robert Tibshirani, Livia S. Eberlin
2025	J	`jnl`	A Large-Scale Vision-Language Dataset Derived from Open Scientific Literature to Advance Biomedical Generalist AI. CoRR Alejandro Lozano, Min Woo Sun, James Burgess, Jeffrey J. Nirschl, Christopher Polzak, Yuhui Zhang, Liangyu Chen, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Collin Chiu, Orr Zohar, Xiaohan Wang, Alfred Seunghoon Song, Chia-Chun Chiang, Robert Tibshirani, Serena Yeung-Levy
2025	A*	`conf`	BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature. CVPR Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Anita Rau, Austin Wolfgang Katzer, Yuhui Zhang, Collin Chiu, Xiaohan Wang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy
2025	J	`jnl`	BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature. CoRR Alejandro Lozano, Min Woo Sun, James Burgess, Liangyu Chen, Jeffrey J. Nirschl, Jeffrey Gu, Ivan Lopez, Josiah Aklilu, Austin Wolfgang Katzer, Collin Chiu, Anita Rau, Xiaohan Wang, Yuhui Zhang, Alfred Seunghoon Song, Robert Tibshirani, Serena Yeung-Levy
2025	J	`jnl`	LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization. CoRR Erica Zhang, Ryunosuke Goto, Naomi Sagan, Jurik Mutter, Nick Phillips, Ash A. Alizadeh, Kangwook Lee, Jose H. Blanchet, Mert Pilanci, Robert Tibshirani
2025	J	`jnl`	Lassoed Forests: Random Forests with Adaptive Lasso Post-selection. CoRR Jing Shang, James Bannon, Benjamin Haibe-Kains, Robert Tibshirani
2025	J	`jnl`	No Tokens Wasted: Leveraging Long Context in Biomedical Vision-Language Models. CoRR Min Woo Sun, Alejandro Lozano, Javier Gamazo Tejero, Vishwesh Nath, Xiao Xiao Sun, James Burgess, Yuhui Zhang, Kun Yuan, Robert Tibshirani, Sean Huver, Serena Yeung-Levy
2025	J	`jnl`	Statistical Learning for Heterogeneous Treatment Effects: Pretraining, Prognosis, and Prediction. CoRR Maximilian Schüßler, Erik Sverdrup, Robert Tibshirani
2025	J	`jnl`	Supervised learning pays attention. CoRR Erin Craig, Robert Tibshirani
2024	J	`jnl`	MMIL: A novel algorithm for disease associated cell type discovery. CoRR Erin Craig, Timothy Keyes, Jolanda Sarno, Maxim Zaslavsky, Garry Nolan, Kara Davis, Trevor Hastie, Robert Tibshirani
2024	J	`jnl`	Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study. npj Digit. Medicine Ahmet Gorkem Er, Daisy Yi Ding, Berrin Er, Mertcan Uzun, Mehmet Cakmak, Christoph Sadee, Gamze Durhan, Mustafa Nasuh Ozmen, Mine Durusu Tanriover, Arzu Topeli, Yesim Aydin Son, Robert Tibshirani, Serhat Unal, Olivier Gevaert
2024	J	`jnl`	Semiparametric conformal prediction. CoRR Ji Won Park, Robert Tibshirani, Kyunghyun Cho
2024	J	`jnl`	Smooth Multi-Period Forecasting With Application to Prediction of COVID-19 Cases. J. Comput. Graph. Stat. Elena Tuzhilina, Trevor J. Hastie, Daniel J. McDonald, J. Kenneth Tay, Robert Tibshirani
2024	J	`jnl`	Using Pre-training and Interaction Modeling for ancestry-specific disease prediction in UK Biobank. CoRR Thomas Le Menestrel, Erin Craig, Robert Tibshirani, Trevor Hastie, Manuel A. Rivas
2023	—	`conf`	Semi-supervised Cooperative Learning for Multiomics Data Fusion. ML4MHD Daisy Yi Ding, Xiaotao Shen, Michael Snyder, Robert Tibshirani
2022	J	`jnl`	FastCPH: Efficient Survival Analysis for Neural Networks. CoRR Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani
2021	J	`jnl`	De novo mutational signature discovery in tumor genomes using SparseSignatures. PLoS Comput. Biol. Avantika Lal, Keli Liu, Robert Tibshirani, Arend Sidow, Daniele Ramazzotti
2021	J	`jnl`	Fast numerical optimization for genome sequencing data in population biobanks. Bioinform. Ruilin Li, Christopher Chang, Yosuke Tanigawa, Balasubramanian Narasimhan, Trevor Hastie, Robert Tibshirani, Manuel A. Rivas
2021	J	`jnl`	LassoNet: A Neural Network with Feature Sparsity. J. Mach. Learn. Res. Ismael Lemhadri, Feng Ruan, Louis Abraham, Robert Tibshirani
2021	A	`conf`	LassoNet: Neural Networks with Feature Sparsity. AISTATS Ismael Lemhadri, Feng Ruan, Robert Tibshirani
2021	J	`jnl`	MassExplorer: a computational tool for analyzing desorption electrospray ionization mass spectrometry data. Bioinform. Vishnu Shankar, Robert Tibshirani, Richard N. Zare
2021	J	`jnl`	Survival analysis on rare events using group-regularized multi-response Cox regression. Bioinform. Ruilin Li, Yosuke Tanigawa, Johanne M. Justesen, Jonathan Taylor, Trevor Hastie, Robert Tibshirani, Manuel A. Rivas
2020	J	`jnl`	Feature-weighted elastic net: using "features of features" for better prediction. CoRR J. Kenneth Tay, Nima Aghaeepour, Trevor Hastie, Robert Tibshirani
2020	J	`jnl`	Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Nat. Mach. Intell. Anthony Culos, Amy Tsai, Natalie Stanley, Martin Becker, Mohammad Sajjad Ghaemi, David Mcilwain, Ramin Fallahzadeh, Athena Tanada, Huda Nassar, Camilo Espinosa, Maria Xenochristou, Edward Ganio, Laura Peterson, Xiaoyuan Han, Ina A. Stelzer, Kazuo Ando, Dyani Gaudilliere, Thanaphong Phongpreecha, Ivana Maric, Alan L. Chang, Gary M. Shaw, David K. Stevenson, Sean Bendall, Kara L. Davis, Wendy J. Fantl, Garry P. Nolan, Trevor Hastie, Robert Tibshirani, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
2019	J	`jnl`	A neural network with feature sparsity. CoRR Ismael Lemhadri, Feng Ruan, Robert Tibshirani
2019	J	`jnl`	Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy. Bioinform. Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee-McMullen, Benoit Lehallier, Anna Robaczewska, David Mcilwain, Yael Rosenberg-Hasson, Ronald J. Wong, Cecele Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour
2019	J	`jnl`	Spectral Overlap and a Comparison of Parameter-Free, Dimensionality Reduction Quality Metrics. CoRR Jonathan Johannemann, Robert Tibshirani
2017	J	`jnl`	Chemical Space Mimicry for Drug Discovery. J. Chem. Inf. Model. William Yuan, Dadi Jiang, Dhanya K. Nambiar, Lydia P. Liew, Michael P. Hay, Joshua Bloomstein, Peter Lu, Brandon Turner, Quynh-Thu Le, Robert Tibshirani, Purvesh Khatri, Mark G. Moloney, Albert C. Koong
2016	J	`jnl`	An Ordered Lasso and Sparse Time-Lagged Regression. Technometrics Robert Tibshirani, Xiaotong Suo
2016	J	`jnl`	Data Shared Lasso: A novel tool to discover uplift. Comput. Stat. Data Anal. Samuel M. Gross, Robert Tibshirani
2016	—	`conf`	Noninvasive Cancer Classification Using Diverse Genomic Features in Circulating Tumor DNA. BCB Mohammad Shahrokh Esfahani, Aaron M. Newman, Florian Scherer, Robert Tibshirani, Maximilian Diehn, Ash A. Alizadeh
2014	J	`jnl`	Sensitivity analysis for inference with partially identifiable covariance matrices. Comput. Stat. Max Grazier G'Sell, Shai S. Shen-Orr, Robert Tibshirani
2013	J	`jnl`	A Component Lasso. CoRR Nadine Hussami, Robert Tibshirani
2013	J	`jnl`	Scientific research in the age of omics: the good, the bad, and the sloppy. J. Am. Medical Informatics Assoc. Daniela M. Witten, Robert Tibshirani
2011	J	`jnl`	Nearly-Isotonic Regression. Technometrics Ryan J. Tibshirani, Holger Höfling, Robert Tibshirani
2011	J	`jnl`	Supervised multidimensional scaling for visualization, classification, and bipartite ranking. Comput. Stat. Data Anal. Daniela M. Witten, Robert Tibshirani
2010	J	`jnl`	DR-Integrator: a new analytic tool for integrating DNA copy number and gene expression data. Bioinform. Keyan Salari, Robert Tibshirani, Jonathan R. Pollack
2010	J	`jnl`	Spectral Regularization Algorithms for Learning Large Incomplete Matrices. J. Mach. Learn. Res. Rahul Mazumder, Trevor Hastie, Robert Tibshirani
2009	J	`jnl`	Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods. J. Mach. Learn. Res. Holger Höfling, Robert Tibshirani
2009	—	`book`	The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition. Trevor Hastie, Robert Tibshirani, Jerome H. Friedman
2008	A*	`conf`	Regularization paths and coordinate descent. KDD Trevor Hastie, Jerome H. Friedman, Robert Tibshirani
2007	J	`jnl`	Disease-specific genomic analysis: identifying the signature of pathologic biology. Bioinform. Monica Nicolau, Robert Tibshirani, Anne-Lise Børresen-Dale, Stefanie S. Jeffrey
2007	J	`jnl`	Margin Trees for High-dimensional Classification. J. Mach. Learn. Res. Robert Tibshirani, Trevor Hastie
2006	J	`jnl`	A simple method for assessing sample sizes in microarray experiments. BMC Bioinform. Robert Tibshirani
2005	—	`ch.`	43. Who Is the Fastest Man in the World? Anthology of Statistics in Sports Robert Tibshirani
2004	—	`conf`	Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer. CSB Pei Wang, Young Kim, Jonathan R. Pollack, Robert Tibshirani
2004	J	`jnl`	Cancer characterization and feature set extraction by discriminative margin clustering. BMC Bioinform. Kamesh Munagala, Robert Tibshirani, Patrick O. Brown
2004	J	`jnl`	Sample classification from protein mass spectrometry, by 'peak probability contrasts'. Bioinform. Robert Tibshirani, Trevor Hastie, Balasubramanian Narasimhan, Scott G. Soltys, Gongyi Shi, Albert C. Koong, Quynh-Thu Le
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	J	`jnl`	Machine learning methods applied to DNA microarray data can improve the diagnosis of cancer. SIGKDD Explor. Eric Bair, Robert Tibshirani
2003	J	`jnl`	Note on "Comparison of Model Selection for Regression" by Vladimir Cherkassky and Yunqian Ma. Neural Comput. Trevor Hastie, Robert Tibshirani, Jerome H. Friedman
2002	—	`conf`	Independent Components Analysis through Product Density Estimation. NIPS Trevor Hastie, Robert Tibshirani
2002	—	`conf`	Supervised Learning from Microarray Data. COMPSTAT Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, Gilbert Chu
2001	J	`jnl`	Missing value estimation methods for DNA microarrays. Bioinform. Olga G. Troyanskaya, Michael N. Cantor, Gavin Sherlock, Patrick O. Brown, Trevor Hastie, Robert Tibshirani, David Botstein, Russ B. Altman
2001	—	`book`	The Elements of Statistical Learning: Data Mining, Inference, and Prediction Trevor Hastie, Jerome H. Friedman, Robert Tibshirani
1998	J	`jnl`	Coaching variables for regression and classification. Stat. Comput. Robert Tibshirani, Geoffrey E. Hinton
1997	—	`conf`	Classification by Pairwise Coupling. NIPS Trevor Hastie, Robert Tibshirani
1996	J	`jnl`	A Comparison of Some Error Estimates for Neural Network Models. Neural Comput. Robert Tibshirani
1996	J	`jnl`	Discriminant Adaptive Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. Trevor Hastie, Robert Tibshirani
1995	—	`conf`	Discriminant Adaptive Nearest Neighbor Classification and Regression. NIPS Trevor Hastie, Robert Tibshirani
1995	A*	`conf`	Discriminant Adaptive Nearest Neighbor Classification. KDD Trevor Hastie, Robert Tibshirani
1993	—	`book`	An Introduction to the Bootstrap Bradley Efron, Robert Tibshirani