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 optimisation with multi-fidelity evaluations
K Kandasamy, G Dasarathy, J Oliva, J Schneider, B Póczos
Proceedings of the 30th/International Conference on Advances in Neural …, 2016
952016
Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
782013
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial Intelligence and Statistics, 1078-1086, 2016
502016
Transformation autoregressive networks
J Oliva, A Dubey, M Zaheer, B Poczos, R Salakhutdinov, E Xing, ...
International Conference on Machine Learning, 3898-3907, 2018
472018
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
432016
Meta-curvature
E Park, JB Oliva
arXiv preprint arXiv:1902.03356, 2019
352019
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
352014
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
342019
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
322019
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 2671-2680, 2017
322017
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
202015
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
162016
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
Flow models for arbitrary conditional likelihoods
Y Li, S Akbar, JB Oliva
arXiv preprint arXiv:1909.06319, 2019
8*2019
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems.
X Wang, JB Oliva, JG Schneider, B Póczos
IJCAI, 2146-2152, 2016
72016
Exchangeable neural ode for set modeling
Y Li, H Yi, CM Bender, S Shan, JB Oliva
arXiv preprint arXiv:2008.02676, 2020
62020
Anomaly detection and modeling of trajectories
JB Oliva
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2012
62012
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
52020
A forest from the trees: Generation through neighborhoods
Y Li, T Gao, J Oliva
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4755-4762, 2020
42020
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