Junier Oliva
Junier Oliva
Assistant Professor, University of North Carolina
Verifierad e-postadress på cs.unc.edu - Startsida
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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
752016
Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
742013
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial Intelligence and Statistics, 1078-1086, 2016
482016
Transformation autoregressive networks
JB Oliva, A Dubey, M Zaheer, B Poczos, R Salakhutdinov, EP Xing, ...
arXiv preprint arXiv:1801.09819, 2018
392018
Estimating cosmological parameters from the dark matter distribution
S Ravanbakhsh, J Oliva, S Fromenteau, L Price, S Ho, J Schneider, ...
International Conference on Machine Learning, 2407-2416, 2016
332016
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
322014
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
arXiv preprint arXiv:1703.00381, 2017
262017
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
202019
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
Linear-time learning on distributions with approximate kernel embeddings
DJ Sutherland, JB Oliva, B Póczos, J Schneider
Thirtieth AAAI Conference on Artificial Intelligence, 2016
142016
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
122019
Meta-curvature
E Park, JB Oliva
Advances in Neural Information Processing Systems, 3314-3324, 2019
122019
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
92015
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems.
X Wang, JB Oliva, JG Schneider, B Póczos
IJCAI, 2146-2152, 2016
62016
Anomaly detection and modeling of trajectories
JB Oliva
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2012
52012
A Forest from the Trees: Generation through Neighborhoods.
Y Li, T Gao, J Oliva
AAAI, 4755-4762, 2020
22020
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
Flow Models for Arbitrary Conditional Likelihoods
Y Li, S Akbar, JB Oliva
arXiv preprint arXiv:1909.06319, 2019
12019
Exchangeable Generative Models with Flow Scans
C Bender, K O'Connor, Y Li, JJ Garcia, M Zaheer, J Oliva
arXiv preprint arXiv:1902.01967, 2019
12019
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Artiklar 1–20