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Junier Oliva
Junier Oliva
Assistant Professor, University of North Carolina
Verified email at cs.unc.edu - Homepage
Title
Cited by
Cited by
Year
Gaussian process bandit optimisation with multi-fidelity evaluations
K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Póczos
Advances in neural information processing systems 29, 2016
1302016
Meta-curvature
E Park, JB Oliva
Advances in Neural Information Processing Systems 32, 2019
812019
Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
812013
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
772019
Transformation autoregressive networks
J Oliva, A Dubey, M Zaheer, B Poczos, R Salakhutdinov, E Xing, ...
International Conference on Machine Learning, 3898-3907, 2018
692018
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial intelligence and statistics, 1078-1086, 2016
652016
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
622016
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
592019
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 2671-2680, 2017
462017
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
422014
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
282015
ACFlow: Flow models for arbitrary conditional likelihoods
Y Li, S Akbar, J Oliva
International Conference on Machine Learning, 5831-5841, 2020
20*2020
Linear-time learning on distributions with approximate kernel embeddings
D Sutherland, J Oliva, B Póczos, J Schneider
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
172016
Exchangeable neural ode for set modeling
Y Li, H Yi, C Bender, S Shan, JB Oliva
Advances in Neural Information Processing Systems 33, 6936-6946, 2020
142020
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
Multiscale score matching for out-of-distribution detection
A Mahmood, J Oliva, M Styner
arXiv preprint arXiv:2010.13132, 2020
112020
Exchangeable generative models with flow scans
C Bender, K O'Connor, Y Li, J Garcia, J Oliva, M Zaheer
Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10053 …, 2020
11*2020
Deep mean maps
JB Oliva, DJ Sutherland, B Póczos, J Schneider
arXiv preprint arXiv:1511.04150, 2015
92015
Arbitrary conditional distributions with energy
R Strauss, JB Oliva
Advances in Neural Information Processing Systems 34, 752-763, 2021
72021
Anomaly detection and modeling of trajectories
JB Oliva
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2012
72012
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Articles 1–20