Junier Oliva
Junier Oliva
Assistant Professor, University of North Carolina
Verified email at cs.unc.edu - Homepage
TitleCited byYear
Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
642013
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
402016
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial Intelligence and Statistics, 1078-1086, 2016
342016
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
232014
Estimating Cosmological Parameters from the Dark Matter Distribution.
S Ravanbakhsh, JB Oliva, S Fromenteau, L Price, S Ho, JG Schneider, ...
ICML, 2407-2416, 2016
212016
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
142017
Multi-fidelity gaussian process bandit optimisation
K Kandasamy, G Dasarathy, JB Oliva, J Schneider, B Poczos
arXiv preprint arXiv:1603.06288, 2016
132016
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
132015
Transformation autoregressive networks
JB Oliva, A Dubey, M Zaheer, B Póczos, R Salakhutdinov, EP Xing, ...
arXiv preprint arXiv:1801.09819, 2018
122018
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
112014
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
52016
Anomaly detection and modeling of trajectories
JB Oliva
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2012
32012
Recurrent Estimation of Distributions
JB Oliva, KA Dubey, B Poczos, E Xing, J Schneider
arXiv preprint arXiv:1705.10750, 2017
12017
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
2019
Meta-Curvature
E Park, JB Oliva
arXiv preprint arXiv:1902.03356, 2019
2019
Permutation Invariant Likelihoods and Equivariant Transformations
C Bender, JJ Garcia, K O'Connor, J Oliva
arXiv preprint arXiv:1902.01967, 2019
2019
A Forest from the Trees: Generation through Neighborhoods
Y Li, T Gao, J Oliva
arXiv preprint arXiv:1902.01435, 2019
2019
Distribution and Histogram (DisH) Learning
J Oliva
http://reports-archive.adm.cs.cmu.edu/anon/ml2018/CMU-ML-18-105.pdf, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20