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At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing

Dec 14, 2020
Ziyang Ding, Sayan Mukherjee

* 37 pages, 12 figures, preprint 

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Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series

Jun 11, 2020
Anna K. Yanchenko, Sayan Mukherjee


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Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators

Mar 05, 2020
Xiangyu Zhang, Ramin Bashizade, Yicheng Wang, Cheng Lyu, Sayan Mukherjee, Alvin R. Lebeck


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A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators

Oct 27, 2019
Xiangyu Zhang, Sayan Mukherjee, Alvin R. Lebeck

* Appears as a poster in 2019 IBM IEEE CAS/EDS - AI Compute Symposium, Yorktown Heights, NY, Oct. 2019 

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Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma

Aug 24, 2019
Samuel I. Berchuck, Felipe A. Medeiros, Sayan Mukherjee

* This is a preprint of an article submitted for publication in the Annals of Applied Statistics. The article contains 26 pages and 7 figures 

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Adaptive particle-based approximations of the Gibbs posterior for inverse problems

Jul 02, 2019
Zilong Zou, Sayan Mukherjee, Harbir Antil, Wilkins Aquino


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Subspace Clustering through Sub-Clusters

Nov 15, 2018
Weiwei Li, Jan Hannig, Sayan Mukherjee


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Subspace-Induced Gaussian Processes

Oct 06, 2018
Zilong Tan, Sayan Mukherjee


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Scalable Algorithms for Learning High-Dimensional Linear Mixed Models

Mar 12, 2018
Zilong Tan, Kimberly Roche, Xiang Zhou, Sayan Mukherjee

* Proceedings of the Thirty Fourth Conference on Uncertainty in Artificial Intelligence (UAI), 2018 

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Efficient Learning of Mixed Membership Models

Jul 02, 2017
Zilong Tan, Sayan Mukherjee

* 23 pages, Proceedings of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, 2017 

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Bayesian Approximate Kernel Regression with Variable Selection

Jun 10, 2017
Lorin Crawford, Kris C. Wood, Xiang Zhou, Sayan Mukherjee

* 22 pages, 3 figures, 3 tables; theory added; new simulations presented; references added 

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Fast moment estimation for generalized latent Dirichlet models

Mar 23, 2016
Shiwen Zhao, Barbara E. Engelhardt, Sayan Mukherjee, David B. Dunson

* corrected a typo in figure 

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Bayesian group latent factor analysis with structured sparsity

Nov 11, 2015
Shiwen Zhao, Chuan Gao, Sayan Mukherjee, Barbara E Engelhardt


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Adaptive Randomized Dimension Reduction on Massive Data

Apr 13, 2015
Gregory Darnell, Stoyan Georgiev, Sayan Mukherjee, Barbara E Engelhardt

* arXiv admin note: substantial text overlap with arXiv:1211.1642 

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Geometric Representations of Random Hypergraphs

Apr 12, 2015
Sim贸n Lunag贸mez, Sayan Mukherjee, Robert L. Wolpert, Edoardo M. Airoldi


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The Information Geometry of Mirror Descent

Apr 29, 2014
Garvesh Raskutti, Sayan Mukherjee

* 9 pages 

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Randomized Dimension Reduction on Massive Data

Nov 05, 2013
Stoyan Georgiev, Sayan Mukherjee

* 31 pages, 6 figures, Key Words:dimension reduction, generalized eigendecompositon, low-rank, supervised, inverse regression, random projections, randomized algorithms, Krylov subspace methods 

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Towards Stratification Learning through Homology Inference

Aug 20, 2010
Paul Bendich, Sayan Mukherjee, Bei Wang

* 48 pages 

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Bounds on sample size for policy evaluation in Markov environments

May 17, 2001
Leonid Peshkin, Sayan Mukherjee

* COLT 2001: The Fourteenth Annual Conference on Computational Learning Theory 
* 14 pages 

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