Articoli con mandati relativi all'accesso pubblico - Pradeep RavikumarUlteriori informazioni
Disponibili pubblicamente: 77
Dags with no tears: Continuous optimization for structure learning
X Zheng, B Aragam, PK Ravikumar, EP Xing
Advances in neural information processing systems 31, 2018
Mandati: US National Science Foundation, US Department of Defense, US National …
On the (in) fidelity and sensitivity of explanations
CK Yeh, CY Hsieh, A Suggala, DI Inouye, PK Ravikumar
Advances in neural information processing systems 32, 2019
Mandati: US Department of Defense
On completeness-aware concept-based explanations in deep neural networks
CK Yeh, B Kim, S Arik, CL Li, T Pfister, P Ravikumar
Advances in neural information processing systems 33, 20554-20565, 2020
Mandati: US Department of Defense
Learning sparse nonparametric dags
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
International Conference on Artificial Intelligence and Statistics, 3414-3425, 2020
Mandati: US National Science Foundation, US Department of Defense
Representer point selection for explaining deep neural networks
CK Yeh, J Kim, IEH Yen, PK Ravikumar
Advances in neural information processing systems 31, 2018
Mandati: US Department of Defense
Robust estimation via robust gradient estimation
A Prasad, AS Suggala, S Balakrishnan, P Ravikumar
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
Mandati: US National Science Foundation
Pd-sparse: A primal and dual sparse approach to extreme multiclass and multilabel classification
IEH Yen, X Huang, P Ravikumar, K Zhong, I Dhillon
International conference on machine learning, 3069-3077, 2016
Mandati: US National Science Foundation, US National Institutes of Health
A voting-based system for ethical decision making
R Noothigattu, S Gaikwad, E Awad, S Dsouza, I Rahwan, P Ravikumar, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandati: US National Science Foundation, US Department of Defense
Graphical models via univariate exponential family distributions
E Yang, P Ravikumar, GI Allen, Z Liu
The Journal of Machine Learning Research 16 (1), 3813-3847, 2015
Mandati: US National Institutes of Health
A review of multivariate distributions for count data derived from the Poisson distribution
DI Inouye, E Yang, GI Allen, P Ravikumar
Wiley Interdisciplinary Reviews: Computational Statistics 9 (3), e1398, 2017
Mandati: US National Science Foundation, US Department of Defense, US National …
Certified robustness to label-flipping attacks via randomized smoothing
E Rosenfeld, E Winston, P Ravikumar, Z Kolter
International Conference on Machine Learning, 8230-8241, 2020
Mandati: US Department of Defense
Ppdsparse: A parallel primal-dual sparse method for extreme classification
IEH Yen, X Huang, W Dai, P Ravikumar, I Dhillon, E Xing
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Mandati: US National Science Foundation, US Department of Defense, US National …
Mixed Graphical Models via Exponential Families
E Yang, Y Baker, P Ravikumar, G Allen, Z Liu
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2014
Mandati: US National Institutes of Health
Consistent multilabel classification
OO Koyejo, N Natarajan, PK Ravikumar, IS Dhillon
Advances in Neural Information Processing Systems 28, 2015
Mandati: US National Institutes of Health
Cost-sensitive learning with noisy labels
N Natarajan, IS Dhillon, P Ravikumar, A Tewari
Journal of Machine Learning Research 18 (155), 1-33, 2018
Mandati: US National Science Foundation, US Department of Defense
Dagma: Learning dags via m-matrices and a log-determinant acyclicity characterization
K Bello, B Aragam, P Ravikumar
Advances in Neural Information Processing Systems 35, 8226-8239, 2022
Mandati: US National Science Foundation, US Department of Defense, US National …
Identifiability of deep generative models without auxiliary information
B Kivva, G Rajendran, P Ravikumar, B Aragam
Advances in Neural Information Processing Systems 35, 15687-15701, 2022
Mandati: US National Science Foundation, US Department of Defense, US National …
Doro: Distributional and outlier robust optimization
R Zhai, C Dan, Z Kolter, P Ravikumar
International Conference on Machine Learning, 12345-12355, 2021
Mandati: US National Science Foundation, US Department of Defense
Sharp statistical guaratees for adversarially robust gaussian classification
C Dan, Y Wei, P Ravikumar
International Conference on Machine Learning, 2345-2355, 2020
Mandati: US National Science Foundation, US Department of Defense
Connecting optimization and regularization paths
A Suggala, A Prasad, PK Ravikumar
Advances in Neural Information Processing Systems 31, 2018
Mandati: US National Science Foundation
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