Divyanshu Vats

Publication Activity (10 Years)

Years Active: 2005-2016
Publications (10 Years): 1

Top Topics

Model Selection

Hyperparameters

Language Processing

Top Venues

IEEE Trans. Signal Process.

Publications

Divyanshu Vats, Andrew S. Lan, Christoph Studer, Richard G. Baraniuk
Optimal ranking of test items using the Rasch model. Allerton (2016)
Andrew S. Lan, Divyanshu Vats, Andrew E. Waters, Richard G. Baraniuk
Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions. L@S (2015)
Andrew S. Lan, Divyanshu Vats, Andrew E. Waters, Richard G. Baraniuk
Mathematical Language Processing: Automatic Grading and Feedback for Open Response Mathematical Questions. CoRR (2015)
Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk
Active Learning for Undirected Graphical Model Selection. CoRR (2014)
Divyanshu Vats, Richard G. Baraniuk
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression. AISTATS (2014)
Divyanshu Vats
High-Dimensional Screening Using Multiple Grouping of Variables. IEEE Trans. Signal Process. 62 (3) (2014)
Divyanshu Vats, Robert D. Nowak, Richard G. Baraniuk
Active Learning for Undirected Graphical Model Selection. AISTATS (2014)
Divyanshu Vats, Robert D. Nowak
A junction tree framework for undirected graphical model selection. J. Mach. Learn. Res. 15 (1) (2014)
Divyanshu Vats, Richard G. Baraniuk
Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression. CoRR (2014)
Divyanshu Vats, Robert D. Nowak
A Junction Tree Framework for Undirected Graphical Model Selection CoRR (2013)
Amirali Aghazadeh, Ali Ayremlou, Daniel D. Calderon, Tom Goldstein, Raajen Patel, Divyanshu Vats, Richard G. Baraniuk
Adaptive step size selection for optimization via the ski rental problem. ICASSP (2013)
Divyanshu Vats, Richard G. Baraniuk
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements. NIPS (2013)
Divyanshu Vats, Richard G. Baraniuk
Swapping Variables for High-Dimensional Sparse Regression from Correlated Measurements. CoRR (2013)
Divyanshu Vats, Christoph Studer, Andrew S. Lan, Lawrence Carin, Richard G. Baraniuk
Test-size Reduction for Concept Estimation. EDM (2013)
Divyanshu Vats, José M. F. Moura
Finding Non-Overlapping Clusters for Generalized Inference Over Graphical Models. IEEE Trans. Signal Process. 60 (12) (2012)
Divyanshu Vats
Parameter-Free High-Dimensional Screening Using Multiple Grouping of Variables CoRR (2012)
Divyanshu Vats, José M. F. Moura
Finding Non-overlapping Clusters for Generalized Inference Over Graphical Models CoRR (2011)
Divyanshu Vats, José M. F. Moura
Necessary conditions for consistent set-based graphical model selection. ISIT (2011)
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, José M. F. Moura
Scalable robust hypothesis tests using graphical models. ICASSP (2011)
Divyanshu Vats, José M. F. Moura
Telescoping Recursive Representations and Estimation of Gauss-Markov Random Fields. IEEE Trans. Inf. Theory 57 (3) (2011)
Divyanshu Vats, José M. F. Moura
A telescoping approach to recursive enhancement of noisy images. ICASSP (2010)
Divyanshu Vats, José M. F. Moura
Graphical Models as Block-Tree Graphs CoRR (2010)
Divyanshu Vats, José M. F. Moura
Reciprocal fields: A model for random fields pinned to two boundaries. CDC (2010)
Divyanshu Vats, José M. F. Moura
Recursive Estimation of Gauss-Markov Random Fields Indexed over 1-D Space CoRR (2009)
Divyanshu Vats, José M. F. Moura
Recursive filtering and smoothing for discrete index gaussian reciprocal processes. CISS (2009)
Divyanshu Vats, José M. F. Moura
Recursive filtering and smoothing for Gaussian reciprocal processes with continuous indices. ISIT (2009)
Vishal Monga, Divyanshu Vats, Brian L. Evans
Image Authentication Under Geometric Attacks Via Structure Matching. ICME (2005)