Junier Oliva
Junier Oliva
Assistant Professor, University of North Carolina
Verifierad e-postadress på cs.unc.edu - Startsida
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Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
722013
Gaussian process bandit optimisation with multi-fidelity evaluations
K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Póczos
Advances in Neural Information Processing Systems, 992-1000, 2016
552016
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial Intelligence and Statistics, 1078-1086, 2016
442016
Estimating Cosmological Parameters from the Dark Matter Distribution.
S Ravanbakhsh, JB Oliva, S Fromenteau, L Price, S Ho, JG Schneider, ...
ICML, 2407-2416, 2016
292016
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
292014
Transformation autoregressive networks
JB Oliva, A Dubey, M Zaheer, B Poczos, R Salakhutdinov, EP Xing, ...
arXiv preprint arXiv:1801.09819, 2018
282018
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
222017
Fast function to function regression
J Oliva, W Neiswanger, B Póczos, E Xing, H Trac, S Ho, J Schneider
Artificial Intelligence and Statistics, 717-725, 2015
172015
Multi-fidelity gaussian process bandit optimisation
K Kandasamy, G Dasarathy, J Oliva, J Schneider, B Poczos
Journal of Artificial Intelligence Research 66, 151-196, 2019
152019
Linear-time learning on distributions with approximate kernel embeddings
DJ Sutherland, JB Oliva, B Póczos, J Schneider
Thirtieth AAAI Conference on Artificial Intelligence, 2016
122016
Fusso: Functional shrinkage and selection operator
JB Oliva, B Póczos, T Verstynen, A Singh, J Schneider, FC Yeh, ...
Artificial Intelligence and Statistics (AISTATS) 33, 2014
122014
Deep mean maps
JB Oliva, DJ Sutherland, B Póczos, J Schneider
arXiv preprint arXiv:1511.04150, 2015
82015
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems.
X Wang, JB Oliva, JG Schneider, B Póczos
IJCAI, 2146-2152, 2016
62016
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
52019
Meta-curvature
E Park, JB Oliva
Advances in Neural Information Processing Systems, 3309-3319, 2019
52019
Anomaly detection and modeling of trajectories
JB Oliva
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2012
52012
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks
Y Shi, D Feng, S Biswas
arXiv preprint arXiv:1906.02679, 2019
22019
A Forest from the Trees: Generation through Neighborhoods
Y Li, T Gao, J Oliva
arXiv preprint arXiv:1902.01435, 2019
12019
Defense Through Diverse Directions
CM Bender, Y Li, Y Shi, MK Reiter, JB Oliva
arXiv preprint arXiv:2003.10602, 2020
2020
Deep Message Passing on Sets
Y Shi, J Oliva, M Niethammer
arXiv preprint arXiv:1909.09877, 2019
2019
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Artiklar 1–20