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Pradeep Ravikumar returns to the ..

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Pradeep Ravikumar returns to the Machine Learning Department

Thesis, "Interharmony Meter for Power Lines", Electrical Engineering Department.
IEOR-DRO SEMINAR: Pradeep Ravikumar (UT Austin) Pradeep Ravikumar is an Associate Professor in the His thesis has received honorable mentions.
PhD Dissertations-Machine Learning Department - Carnegie Mellon University Pradeep Ravikumar, 2007.

Thesis Committee: Pradeep Ravikumar (Chair)

Lafferty(6) Mátyás.
On NDCG Consistency of Listwise Ranking Methods Pradeep Ravikumar In this thesis we perform a comprehensive offline evaluation of three collaborative filtering.
Pradeep Ravikumar University of Texas, Austin Assistant Professor Learning Discrete Graphical Model Structure Undirected graphical models, also known as Markov random.
By Doran Chakraborty, Peter Stone Supervisor, Raymond Mooney, Greg Plaxton, Pradeep Ravikumar, Doran Chakraborty and Banani Chakraborty Acknowledgments.

Pradeep ravikumar thesis.
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IEOR-DRO SEMINAR: Pradeep Ravikumar (UT Austin)

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List of computer science publications by Pradeep D.

IEOR-DRO SEMINAR: Pradeep Ravikumar (UT Austin) ..

Associate Director, GDC 4.808 Phd Thesis: Approximate Inference, Structure Learning and Feature Estimation in Markov Random Fields.
ESTIMATING RAINFALL WITH NEURAL NETWORKS AND CONDITIONAL RANDOM FIELDS A Thesis Presented to The Academic Faculty by Evan Ott In Partial Ful llment.
September 13, 2013, Pradeep Ravikumar, University of Texas.

Topic: Pradeep Ravikumar | Department of Computer …

Poldrack, and Oluwasanmi Koyejo
Proceedings of the 18th International conference on Artificial Intelligence and Statistics (AISTATS), 2015 (Oral)
Consistent binary classification with generalized performance metrics
Oluwasanmi Koyejo*, Nagarajan Natarajan*, Pradeep Ravikumar, and Inderjit Dhillon
Advances in Neural Information Processing Systems (NIPS) 27, 2014 (Spotlight)
On prior distributions and approximate inference for structured variables
Oluwasanmi Koyejo, Rajiv Khanna, Joydeep Ghosh, and Russell A Poldrack
Advances in Neural Information Processing Systems (NIPS) 27, 2014
Sparse dependent Bayesian structure learning
Anqi Wu, Mijung Park, Oluwasanmi Koyejo, and Jonathan Pillow
Advances in Neural Information Processing Systems (NIPS) 27, 2014
A constrained matrix-variate Gaussian process for transposable data
Oluwasanmi Koyejo, Cheng Lee, and Joydeep Ghosh
Machine Learning, 2014
Constrained Bayesian inference for low rank multitask learning
Oluwasanmi Koyejo and Joydeep Ghosh
Proceedings of the 29th conference on Uncertainty in artificial intelligence (UAI), 2013
Towards open sharing of task-based fMRI data: The OpenfMRI project

Pradeep Ravikumar: Publications

and Canadian researchers.
Semi-Supervised Learning with Graphs Xiaojin Zhu May 2005 Pradeep Ravikumar, Nadine Reaves, Max Ritter, Chuck Rosenberg making thesis writing an enjoyable.

Thesis, Carnegie Mellon University

Pradeep Puri, formerly President CEO, Noida Toll Bridge.
Pradeep Ravikumar received his BTech in Computer Science and Engineering from the Indian Institute of Technology, Bombay, and his PhD in Machine Learning.
Pradeep Ravikumar.

Machine Learning Thesis Proposal | Carnegie Mellon …

THESIS Presented to the Faculty of the Graduate School of The University of Texas at Austin.
pradeep ravikumar thesis Han Liu, Assistant Professor of Operations Research and Financial Engineering @ Princeton University Sl list of degree / diploma.
Sahand N.