Bin Yu
Affiliations:- University of California, Berkeley, Department of Statistics, CA, USA
- University of Wisconsin at Madison, Department of Statistics, WI, USA
According to our database1,
Bin Yu
authored at least 124 papers
between 1992 and 2023.
Collaborative distances:
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Bibliography
2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms.
CoRR, 2023
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning.
CoRR, 2023
An Investigation into the Effects of Pre-training Data Distributions for Pathology Report Classification.
CoRR, 2023
CoRR, 2023
2022
IEEE ACM Trans. Audio Speech Lang. Process., 2022
VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS.
J. Open Source Softw., 2022
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data.
CoRR, 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods.
CoRR, 2022
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.
Proceedings of the International Conference on Machine Learning, 2022
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
J. Open Source Softw., 2021
Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data.
J. Biomed. Informatics, 2021
Structural Compression of Convolutional Neural Networks with Applications in Interpretability.
Frontiers Big Data, 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients.
J. Mach. Learn. Res., 2020
J. Mach. Learn. Res., 2020
Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data.
CoRR, 2020
CoRR, 2020
Curating a COVID-19 data repository and forecasting county-level death counts in the United States.
CoRR, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
J. Mach. Learn. Res., 2019
CoRR, 2019
CoRR, 2019
Three principles of data science: predictability, computability, and stability (PCS).
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Three principles of data science: predictability, computability, and stability (PCS).
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Structural Compression of Convolutional Neural Networks Based on Greedy Filter Pruning.
CoRR, 2017
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
2016
Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs.
CoRR, 2016
Proceedings of the 2nd International Workshop on BIG Data Software Engineering, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Do retinal ganglion cells project natural scenes to their principal subspace and whiten them?
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs.
J. Mach. Learn. Res., 2015
2014
Early stopping and non-parametric regression: an optimal data-dependent stopping rule.
J. Mach. Learn. Res., 2014
CoRR, 2014
CoRR, 2014
Statistical guarantees for the EM algorithm: From population to sample-based analysis.
CoRR, 2014
Proceedings of the Research in Computational Molecular Biology, 2014
Proceedings of the 2014 Information Theory and Applications Workshop, 2014
2013
J. Mach. Learn. Res., 2013
2012
Minimax-Optimal Rates For Sparse Additive Models Over Kernel Classes Via Convex Programming.
J. Mach. Learn. Res., 2012
CoRR, 2012
Multiple-kernel learning-based unmixing algorithm for estimation of cloud fractions with MODIS and CloudSat data.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Minimax Rates of Estimation for High-Dimensional Linear Regression Over <sub>q</sub> -Balls.
IEEE Trans. Inf. Theory, 2011
Combined Features and Kernel Design for Noise Robust Phoneme Classification Using Support Vector Machines.
IEEE Trans. Speech Audio Process., 2011
Int. J. Syst. Sci., 2011
Proceedings of the 5th IEEE International Conference on Semantic Computing (ICSC 2011), 2011
Early stopping for non-parametric regression: An optimal data-dependent stopping rule.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011
2010
J. Mach. Learn. Res., 2010
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
Discovering word associations in news media via feature selection and sparse classification.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Minimax rates of estimation for high-dimensional linear regression over $\ell_q$-balls.
CoRR, 2009
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of l<sub>1</sub>-regularized MLE.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Data spectroscopy: learning mixture models using eigenspaces of convolution operators.
Proceedings of the Machine Learning, 2008
Combined PLP - Acoustic waveform classification for robust phoneme recognition using support vector machines.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
Towards robust phoneme classification: Augmentation of PLP models with acoustic waveforms.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
2007
Technometrics, 2007
2006
A fast lightweight approach to origin-destination IP traffic estimation using partial measurements.
IEEE Trans. Inf. Theory, 2006
2004
IEEE Trans. Signal Process., 2004
Maximum entropy models: convergence rates and applications in dynamic system monitoring.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004
2003
IEEE Trans. Signal Process., 2003
Signal Process., 2003
Bioinform., 2003
Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003
2002
Perceptual audio coding using adaptive pre- and post-filters and lossless compression.
IEEE Trans. Speech Audio Process., 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 International Conference on Image Processing, 2002
2001
Proceedings of the IEEE International Conference on Acoustics, 2001
Proceedings of the Data Compression Conference, 2001
2000
Iterated logarithmic expansions of the pathwise code lengths for exponential families.
IEEE Trans. Inf. Theory, 2000
IEEE Trans. Image Process., 2000
IEEE Trans. Image Process., 2000
IEEE Trans. Image Process., 2000
1999
IEEE Trans. Image Process., 1999
Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition.
IEEE Trans. Geosci. Remote. Sens., 1999
1998
IEEE Trans. Inf. Theory, 1998
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
1997
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997
1996
IEEE Trans. Inf. Theory, 1996
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996
1993
IEEE Trans. Inf. Theory, 1993
1992