Bin Yu

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 73

Top Venues

CoRR

J. Mach. Learn. Res.

J. Open Source Softw.

AISTATS

Publications

Soufiane Hayou, Nikhil Ghosh, Bin Yu
LoRA+: Efficient Low Rank Adaptation of Large Models. CoRR (2024)
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. ICLR (2024)
Yan Shuo Tan, Omer Ronen, Theo Saarinen, Bin Yu
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis. CoRR (2024)
James Duncan, Tiffany M. Tang, Corrine F. Elliott, Philippe Boileau, Bin Yu
simChef: High-quality data science simulations in R. J. Open Source Softw. 9 (96) (2024)
Omer Ronen, Ahmed Imtiaz Humayun, Randall Balestriero, Richard G. Baraniuk, Bin Yu
ScaLES: Scalable Latent Exploration Score for Pre-Trained Generative Networks. CoRR (2024)
Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Anobel Y. Odisho, Peter R. Carroll, Bin Yu
Mechanistic Interpretation through Contextual Decomposition in Transformers. CoRR (2024)
Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu
Minimum-Norm Interpolation Under Covariate Shift. CoRR (2024)
Soufiane Hayou, Nikhil Ghosh, Bin Yu
The Impact of Initialization on LoRA Finetuning Dynamics. CoRR (2024)
Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y. Odisho, Bin Yu
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making. ICLR (2024)
Keru Wu, Yuansi Chen, Wooseok Ha, Bin Yu
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms. CoRR (2023)
Aliyah R. Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Y. Odisho, Bin Yu
An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification. CoRR (2023)
Abhineet Agarwal, Ana M. Kenney, Yan Shuo Tan, Tiffany M. Tang, Bin Yu
MDI+: A Flexible Random Forest-Based Feature Importance Framework. CoRR (2023)
Chandan Singh, Aliyah R. Hsu, Richard Antonello, Shailee Jain, Alexander G. Huth, Bin Yu, Jianfeng Gao
Explaining black box text modules in natural language with language models. CoRR (2023)
Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. CoRR (2023)
Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao
Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR (2023)
Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning. CoRR (2023)
Keyan Nasseri, Chandan Singh, James Duncan, Aaron Kornblith, Bin Yu
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data. CoRR (2022)
Omer Ronen, Theo Saarinen, Yan Shuo Tan, James Duncan, Bin Yu
A Mixing Time Lower Bound for a Simplified Version of BART. CoRR (2022)
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods. CoRR (2022)
James Duncan, Rush Kapoor, Abhineet Agarwal, Chandan Singh, Bin Yu
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS. J. Open Source Softw. 7 (69) (2022)
Yan Shuo Tan, Chandan Singh, Keyan Nasseri, Abhineet Agarwal, Bin Yu
Fast Interpretable Greedy-Tree Sums (FIGS). CoRR (2022)
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. AISTATS (2022)
Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models. ICML (2022)
Yan Shuo Tan, Abhineet Agarwal, Bin Yu
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds. CoRR (2021)
Wooseok Ha, Chandan Singh, Francois Lanusse, Eli Song, Song Dang, Kangmin He, Srigokul Upadhyayula, Bin Yu
Adaptive wavelet distillation from neural networks through interpretations. CoRR (2021)
Chandan Singh, Wooseok Ha, Bin Yu
Interpreting and improving deep-learning models with reality checks. CoRR (2021)
Wooseok Ha, Chandan Singh, Francois Lanusse, Srigokul Upadhyayula, Bin Yu
Adaptive wavelet distillation from neural networks through interpretations. NeurIPS (2021)
Nicholas Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu
Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data. J. Biomed. Informatics 122 (2021)
Chandan Singh, Keyan Nasseri, Yan Shuo Tan, Tiffany Tang, Bin Yu
imodels: a python package for fitting interpretable models. J. Open Source Softw. 6 (61) (2021)
Reza Abbasi-Asl, Bin Yu
Structural Compression of Convolutional Neural Networks with Applications in Interpretability. Frontiers Big Data 4 (2021)
Yu Wang, Siqi Wu, Bin Yu
Unique Sharp Local Minimum in L1-minimization Complete Dictionary Learning. J. Mach. Learn. Res. 21 (2020)
Nick Altieri, Rebecca L. Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Bin Yu
Curating a COVID-19 data repository and forecasting county-level death counts in the United States. CoRR (2020)
Raaz Dwivedi, Chandan Singh, Bin Yu, Martin J. Wainwright
Revisiting complexity and the bias-variance tradeoff. CoRR (2020)
Raaz Dwivedi, Yan Shuo Tan, Briton Park, Mian Wei, Kevin Horgan, David Madigan, Bin Yu
Stable discovery of interpretable subgroups via calibration in causal studies. CoRR (2020)
Chandan Singh, Wooseok Ha, Bin Yu
Interpreting and Improving Deep-Learning Models with Reality Checks. xxAI@ICML (2020)
Bin Yu
Veridical Data Science. WSDM (2020)
Chandan Singh, Wooseok Ha, Francois Lanusse, Vanessa Böhm, Jia Liu, Bin Yu
Transformation Importance with Applications to Cosmology. CoRR (2020)
Nhat Ho, Koulik Khamaru, Raaz Dwivedi, Martin J. Wainwright, Michael I. Jordan, Bin Yu
Instability, Computational Efficiency and Statistical Accuracy. CoRR (2020)
Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge. ICML (2020)
Nick Altieri, Briton Park, Mara Olson, John DeNero, Anobel Y. Odisho, Bin Yu
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data. CoRR (2020)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. J. Mach. Learn. Res. 21 (2020)
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models. AISTATS (2020)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients. CoRR (2019)
Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge. CoRR (2019)
W. James Murdoch, Chandan Singh, Karl Kumbier, Reza Abbasi-Asl, Bin Yu
Interpretable machine learning: definitions, methods, and applications. CoRR (2019)
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu
A Debiased MDI Feature Importance Measure for Random Forests. CoRR (2019)
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
Log-concave sampling: Metropolis-Hastings algorithms are fast. J. Mach. Learn. Res. 20 (2019)
Chandan Singh, W. James Murdoch, Bin Yu
Hierarchical interpretations for neural network predictions. ICLR (Poster) (2019)
Yu Wang, Siqi Wu, Bin Yu
Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary Learning. CoRR (2019)
Raaz Dwivedi, Nhat Ho, Koulik Khamaru, Martin J. Wainwright, Michael I. Jordan, Bin Yu
Challenges with EM in application to weakly identifiable mixture models. CoRR (2019)
Summer Devlin, Chandan Singh, W. James Murdoch, Bin Yu
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees. CoRR (2019)
Xiao Li, Yu Wang, Sumanta Basu, Karl Kumbier, Bin Yu
A Debiased MDI Feature Importance Measure for Random Forests. NeurIPS (2019)
Bin Yu, Karl Kumbier
Three principles of data science: predictability, computability, and stability (PCS). CoRR (2019)
Yuansi Chen, Chi Jin, Bin Yu
Stability and Convergence Trade-off of Iterative Optimization Algorithms. CoRR (2018)
W. James Murdoch, Peter J. Liu, Bin Yu
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs. ICLR (2018)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Fast MCMC Sampling Algorithms on Polytopes. J. Mach. Learn. Res. 19 (2018)
Karl Kumbier, Sumanta Basu, James B. Brown, Susan Celniker, Bin Yu
Refining interaction search through signed iterative Random Forests. CoRR (2018)
Bin Yu, Karl Kumbier
Artificial intelligence and statistics. Frontiers Inf. Technol. Electron. Eng. 19 (1) (2018)
W. James Murdoch, Peter J. Liu, Bin Yu
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs. CoRR (2018)
Chandan Singh, W. James Murdoch, Bin Yu
Hierarchical interpretations for neural network predictions. CoRR (2018)
Sumanta Basu, Karl Kumbier, James B. Brown, Bin Yu
iRF: extracting interactions from random forests. J. Open Source Softw. 3 (32) (2018)
Raaz Dwivedi, Yuansi Chen, Martin J. Wainwright, Bin Yu
Log-concave sampling: Metropolis-Hastings algorithms are fast! COLT (2018)
Bin Yu
Three principles of data science: predictability, computability, and stability (PCS). IEEE BigData (2018)
Bin Yu, Karl Kumbier
Artificial Intelligence and Statistics. CoRR (2017)
Bin Yu
Three Principles of Data Science: Predictability, Stability and Computability. KDD (2017)
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright, Bin Yu
Vaidya walk: A sampling algorithm based on the volumetric barrier. Allerton (2017)
Reza Abbasi-Asl, Bin Yu
Structural Compression of Convolutional Neural Networks Based on Greedy Filter Pruning. CoRR (2017)
Reza Abbasi-Asl, Bin Yu
Interpreting Convolutional Neural Networks Through Compression. CoRR (2017)
Robert E. Kass, Brian S. Caffo, Marie Davidian, Xiao-Li Meng, Bin Yu, Nancy Reid
Ten Simple Rules for Effective Statistical Practice. PLoS Comput. Biol. 12 (6) (2016)
Reza Abbasi-Asl, Cengiz Pehlevan, Bin Yu, Dmitri B. Chklovskii
Do retinal ganglion cells project natural scenes to their principal subspace and whiten them? ACSSC (2016)
Adam Bloniarz, Ameet Talwalkar, Bin Yu, Christopher Wu
Supervised Neighborhoods for Distributed Nonparametric Regression. AISTATS (2016)
Yangbo He, Bin Yu
Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs. CoRR (2016)
Yang Zhang, Fangzhou Xu, Erwin Frise, Siqi Wu, Bin Yu, Wei Xu
DataLab: a version data management and analytics system. BIGDSE@ICSE (2016)
Ping Ma, Michael W. Mahoney, Bin Yu
A statistical perspective on algorithmic leveraging. J. Mach. Learn. Res. 16 (2015)
Yangbo He, Jinzhu Jia, Bin Yu
Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs. J. Mach. Learn. Res. 16 (2015)
Ping Ma, Michael W. Mahoney, Bin Yu
A Statistical Perspective on Algorithmic Leveraging. ICML (2014)
Hongwei Li, Bin Yu
Error Rate Bounds and Iterative Weighted Majority Voting for Crowdsourcing. CoRR (2014)
Adam Bloniarz, Ameet Talwalkar, Jonathan Terhorst, Michael I. Jordan, David A. Patterson, Bin Yu, Yun S. Song
Changepoint Analysis for Efficient Variant Calling. RECOMB (2014)
Antony Joseph, Bin Yu
Impact of regularization on spectral clustering. ITA (2014)
Jinzhu Jia, Luke Miratrix, Bin Yu, Brian Gawalt, Laurent El Ghaoui, Luke Barnesmoore, Sophie Clavier
Concise comparative summaries (CCS) of large text corpora with a human experiment. CoRR (2014)
Sivaraman Balakrishnan, Martin J. Wainwright, Bin Yu
Statistical guarantees for the EM algorithm: From population to sample-based analysis. CoRR (2014)
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Early stopping and non-parametric regression: an optimal data-dependent stopping rule. J. Mach. Learn. Res. 15 (1) (2014)
Ping Ma, Michael W. Mahoney, Bin Yu
A Statistical Perspective on Algorithmic Leveraging. CoRR (2013)
Julien Mairal, Bin Yu
Supervised feature selection in graphs with path coding penalties and network flows. J. Mach. Learn. Res. 14 (1) (2013)
Hongwei Li, Bin Yu, Dengyong Zhou
Error Rate Bounds in Crowdsourcing Models. CoRR (2013)
Yangbo He, Jinzhu Jia, Bin Yu
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs CoRR (2012)
Julien Mairal, Bin Yu
Complexity Analysis of the Lasso Regularization Path CoRR (2012)
Yanfeng Gu, Shizhe Wang, Tao Shi, Yinghui Lu, Eugene E. Clothiaux, Bin Yu
Multiple-kernel learning-based unmixing algorithm for estimation of cloud fractions with MODIS and CloudSat data. IGARSS (2012)
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming. J. Mach. Learn. Res. 13 (2012)
Julien Mairal, Bin Yu
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows CoRR (2012)
Julien Mairal, Bin Yu
Complexity Analysis of the Lasso Regularization Path. ICML (2012)
Xinyu Dai, Jinzhu Jia, Laurent El Ghaoui, Bin Yu
SBA-term: Sparse Bilingual Association for Terms. ICSC (2011)
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
-Balls. IEEE Trans. Inf. Theory 57 (10) (2011)
Shamim N. Pakzad, Guilherme V. Rocha, Bin Yu
Distributed modal identification using restricted auto regressive models. Int. J. Syst. Sci. 42 (9) (2011)
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Early stopping for non-parametric regression: An optimal data-dependent stopping rule. Allerton (2011)
Alexandre d'Aspremont, Francis R. Bach, Inderjit S. Dhillon, Bin Yu
Preface. Math. Program. 127 (1) (2011)
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Restricted Eigenvalue Properties for Correlated Gaussian Designs. J. Mach. Learn. Res. 11 (2010)
Garvesh Raskutti, Martin J. Wainwright, Bin Yu
Minimax-optimal rates for sparse additive models over kernel classes via convex programming. CoRR (2010)
Brian Gawalt, Jinzhu Jia, Luke Miratrix, Laurent El Ghaoui, Bin Yu, Sophie Clavier
Discovering word associations in news media via feature selection and sparse classification. Multimedia Information Retrieval (2010)
Sahand N. Negahban, Pradeep Ravikumar, Martin J. Wainwright, Bin Yu
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers CoRR (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bin Yu