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, 992-1000, 2016
852016
Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
762013
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial Intelligence and Statistics, 1078-1086, 2016
512016
Transformation autoregressive networks
JB Oliva, A Dubey, M Zaheer, B Poczos, R Salakhutdinov, EP Xing, ...
arXiv preprint arXiv:1801.09819, 2018
442018
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
372016
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
342014
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
arXiv preprint arXiv:1703.00381, 2017
292017
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
262019
Meta-curvature
E Park, JB Oliva
Advances in Neural Information Processing Systems, 3314-3324, 2019
222019
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
192015
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
182019
Linear-time learning on distributions with approximate kernel embeddings
DJ Sutherland, JB Oliva, B Póczos, J Schneider
arXiv preprint arXiv:1509.07553, 2015
152015
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
72016
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
Anomaly detection and modeling of trajectories
JB Oliva
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2012
52012
Flow Models for Arbitrary Conditional Likelihoods
Y Li, S Akbar, JB Oliva
arXiv preprint arXiv:1909.06319, 2019
42019
Exchangeable neural ode for set modeling
Y Li, H Yi, C Bender, S Shan, JB Oliva
Advances in Neural Information Processing Systems 33, 2020
32020
A Forest from the Trees: Generation through Neighborhoods.
Y Li, T Gao, J Oliva
AAAI, 4755-4762, 2020
32020
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Articles 1–20