Sayan Mukherjee
Affiliations: Duke University, Durham, NC, USA
 Columbia University, New York, NY, USA (former)
According to our database^{1},
Sayan Mukherjee
authored at least 57 papers
between 1995 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2021
Discret. Comput. Geom., 2021
CoRR, 2021
CoRR, 2021
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021
2020
At the Intersection of Deep Sequential Model Framework and Statespace Model Framework: Study on Option Pricing.
CoRR, 2020
Stanza: A Nonlinear State Space Model for Probabilistic Inference in NonStationary Time Series.
CoRR, 2020
Beyond Application EndPoint Results: Quantifying Statistical Robustness of MCMC Accelerators.
CoRR, 2020
2019
A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators.
CoRR, 2019
Adaptive particlebased approximations of the Gibbs posterior for inverse problems.
CoRR, 2019
2018
CoRR, 2018
CoRR, 2018
CoRR, 2018
Proceedings of the ThirtyFourth Conference on Uncertainty in Artificial Intelligence, 2018
2017
J. Mach. Learn. Res., 2017
CoRR, 2017
CoRR, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Random Struct. Algorithms, 2016
J. Mach. Learn. Res., 2016
CoRR, 2016
2015
IEEE Trans. Inf. Theory, 2015
Proc. VLDB Endow., 2015
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015
2014
IEEE Data Eng. Bull., 2014
Discret. Comput. Geom., 2014
Adv. Appl. Math., 2014
2013
A comparative study of covariance selection models for the inference of gene regulatory networks.
J. Biomed. Informatics, 2013
CoRR, 2013
Genomewide identification and predictive modeling of tissuespecific alternative polyadenylation.
Bioinform., 2013
2012
Proceedings of the TwentyThird Annual ACMSIAM Symposium on Discrete Algorithms, 2012
2011
Mach. Learn., 2011
2010
Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence.
J. Mach. Learn. Res., 2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
On the reproducibility of results of pathway analysis in genomewide expression studies of colorectal cancers.
J. Biomed. Informatics, 2010
Proceedings of the Manifold Learning and Its Applications, 2010
2009
BMC Bioinform., 2009
2008
PLoS Comput. Biol., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the KnowledgeBased Intelligent Information and Engineering Systems, 2008
2007
J. Mach. Learn. Res., 2007
Bioinform., 2007
Decision Fusion of Circulating Markers for Breast Cancer Detection in Premenopausal Women.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
PLoS Comput. Biol., 2006
J. Mach. Learn. Res., 2006
J. Mach. Learn. Res., 2006
Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization.
Adv. Comput. Math., 2006
Analysis of sample set enrichment scores: assaying the enrichment of sets of genes for individual samples in genomewide expression profiles.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2003
SIAM Rev., 2003
J. Comput. Biol., 2003
2002
Mach. Learn., 2002
Proceedings of the Pattern Recognition with Support Vector Machines, 2002
2001
Molecular classification of multiple tumor types.
Proceedings of the Ninth International Conference on Intelligent Systems for Molecular Biology, 2001
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
1996
Pattern Recognit., 1996
1995
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995