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Pradeep Ravikumar

Showing results (1-10 of 16) with videos related to

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Advances in Neural Information Processing Systems|August 27, 2016
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential DesignsVidyashankar Sivakumar, Arindam Banerjee, Pradeep Ravikumar
Advances in Neural Information Processing Systems|March 15, 2019
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential DensitiesArun Sai Suggala, Mladen Kolar, Pradeep Ravikumar
Proceedings of Machine Learning Research|April 26, 2024
Context-Sensitive Spelling Correction of Clinical Text via Conditional IndependenceJuyong Kim, Jeremy C Weiss, Pradeep Ravikumar
Wiley Interdisciplinary Reviews. Computational Statistics|October 7, 2017
A Review of Multivariate Distributions for Count Data Derived from the Poisson DistributionDavid Inouye, Eunho Yang, Genevera Allen, et al.
JMLR Workshop and Conference Proceedings|August 27, 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive DependenciesDavid I Inouye, Pradeep Ravikumar, Inderjit S Dhillon
Journal of Machine Learning Research : JMLR|August 30, 2016
Graphical Models via Univariate Exponential Family DistributionsEunho Yang, Pradeep Ravikumar, Genevera I Allen, et al.
Inverse Problems|September 1, 2017
SHAPE BASED IMAGE RECONSTRUCTION USING LINEARIZED DEFORMATIONSOzan Öktem, Chong Chen, Nevzat Onur Domaniç, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|March 13, 2024
AnEMIC: A Framework for Benchmarking ICD Coding ModelsJuyong Kim, Abheesht Sharma, Suhas Shanbhogue, et al.
JMLR Workshop and Conference Proceedings|September 6, 2017
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual DecompositionJiong Zhang, Ian E H Yen, Pradeep Ravikumar, et al.
JMLR Workshop and Conference Proceedings|August 26, 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif DiscoveryIan E H Yen, Xin Lin, Jiong Zhang, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Advances in Neural Information Processing Systems|August 27, 2016
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential DesignsVidyashankar Sivakumar, Arindam Banerjee, Pradeep Ravikumar
Advances in Neural Information Processing Systems|March 15, 2019
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential DensitiesArun Sai Suggala, Mladen Kolar, Pradeep Ravikumar
Proceedings of Machine Learning Research|April 26, 2024
Context-Sensitive Spelling Correction of Clinical Text via Conditional IndependenceJuyong Kim, Jeremy C Weiss, Pradeep Ravikumar
Wiley Interdisciplinary Reviews. Computational Statistics|October 7, 2017
A Review of Multivariate Distributions for Count Data Derived from the Poisson DistributionDavid Inouye, Eunho Yang, Genevera Allen, et al.
JMLR Workshop and Conference Proceedings|August 27, 2016
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive DependenciesDavid I Inouye, Pradeep Ravikumar, Inderjit S Dhillon
Journal of Machine Learning Research : JMLR|August 30, 2016
Graphical Models via Univariate Exponential Family DistributionsEunho Yang, Pradeep Ravikumar, Genevera I Allen, et al.
Inverse Problems|September 1, 2017
SHAPE BASED IMAGE RECONSTRUCTION USING LINEARIZED DEFORMATIONSOzan Öktem, Chong Chen, Nevzat Onur Domaniç, et al.
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|March 13, 2024
AnEMIC: A Framework for Benchmarking ICD Coding ModelsJuyong Kim, Abheesht Sharma, Suhas Shanbhogue, et al.
JMLR Workshop and Conference Proceedings|September 6, 2017
Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual DecompositionJiong Zhang, Ian E H Yen, Pradeep Ravikumar, et al.
JMLR Workshop and Conference Proceedings|August 26, 2016
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif DiscoveryIan E H Yen, Xin Lin, Jiong Zhang, et al.
Pageof 2