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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
1722016
MolecularRNN: Generating realistic molecular graphs with optimized properties
M Popova, M Shvets, J Oliva, O Isayev
arXiv preprint arXiv:1905.13372, 2019
1332019
Meta-curvature
E Park, JB Oliva
Advances in Neural Information Processing Systems 32, 2019
1272019
Transformation autoregressive networks
J Oliva, A Dubey, M Zaheer, B Poczos, R Salakhutdinov, E Xing, ...
International Conference on Machine Learning, 3898-3907, 2018
892018
Distribution to distribution regression
J Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 1049-1057, 2013
862013
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
852016
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
812019
Bayesian nonparametric kernel-learning
JB Oliva, A Dubey, AG Wilson, B Póczos, J Schneider, EP Xing
Artificial intelligence and statistics, 1078-1086, 2016
812016
The statistical recurrent unit
JB Oliva, B Póczos, J Schneider
International Conference on Machine Learning, 2671-2680, 2017
532017
Fast distribution to real regression
J Oliva, W Neiswanger, B Póczos, J Schneider, E Xing
Artificial Intelligence and Statistics, 706-714, 2014
492014
Spatio-temporal matching for human pose estimation in video
F Zhou, F De la Torre
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (8), 1492-1504, 2016
312016
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
302015
ACFlow: Flow models for arbitrary conditional likelihoods
Y Li, S Akbar, J Oliva
International Conference on Machine Learning, 5831-5841, 2020
29*2020
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
262020
Active feature acquisition with generative surrogate models
Y Li, J Oliva
International Conference on Machine Learning, 6450-6459, 2021
252021
Multiscale score matching for out-of-distribution detection
A Mahmood, J Oliva, M Styner
arXiv preprint arXiv:2010.13132, 2020
242020
Nrtsi: Non-recurrent time series imputation
S Shan, Y Li, JB Oliva
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
232023
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
182016
Meta-neighborhoods
S Shan, Y Li, JB Oliva
Advances in Neural Information Processing Systems 33, 5047-5057, 2020
142020
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
13*2020
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