Papers
Working Papers
More coming soon.
REFEREED PUBLICATIONS
D. K. Lim, N. U. Rashid, J. Oliva, and J. G. Ibrahim. Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders. Statistics in Biopharmaceutical Research (SBR). 2024. (To Appear).
M. Valancius, M. Lennon, and J. Oliva. Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition. International Conference on Machine Learning (ICML). Vienna, Austria, 2024. (To Appear).
S. Shan, Y. Li, A. Banerjee, and J. Oliva. Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion. Association for the Advancement of Artificial Intelligence (AAAI). Vancouver, Canada, 2024
D. K. Lim, N. U. Rashid, J. Oliva, and J. G. Ibrahim. Deeply-Learned Generalized Linear Models with Missing Data. Journal of Computational and Graphical Statistics, 2023.
C. Bender, Y. Shi, M. Niethammer, and J. Oliva. Continuously Parameterized Mixture Models. International Conference on Machine Learning (ICML), pp. 2050-2062. Honolulu, USA, 2023.
S. Shan, Y. Li, and J. Oliva. NRTSI: Non-Recurrent Time Series Imputation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1-5. Rhodes Island, Greece, 2023.
R. Strauss, and J. Oliva. Posterior Matching for Arbitrary Conditioning. Advances in Neural Information Processing Systems (NeurIPS), pp. 18088-18099. Virtual/New Orleans, LA, 2022.
A. Madasu, J. Oliva, and G. Bertasius. Learning to Retrieve Videos by Asking Questions. ACM International Conference on Multimedia (ACM MM). Lisbon, Portugal, 2022.
S. Shan, V. Baskaran, J. Ranek, H. Yi, N. Stanley, and J. Oliva. Transparent single-cell set classification with kernel mean embeddings. ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB). Chicago, IL, 2022. Best Paper Award Winner.
V. Baskaran, J. Ranek, S. Shan, N. Stanley, and J. Oliva. Distribution-based sketching of single-cell samples. ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB). Chicago, IL, 2022.
C. Bender, P. Emmanuel, M. Reiter, and J. Oliva. Practical Integration via Separable Bijective Networks. International Conference on Learning Representations (ICLR). Virtual, 2022.
R. Strauss, and J. Oliva. Arbitrary Conditional Distributions with Energy. Advances in Neural Information Processing Systems (NeurIPS). Virtual, 2021.
S. Chowdhury, S. Ghosh, Y. Li, J. Oliva, S. Srivastava, and S. Chaturvedi. Adversarial Scrubbing of Demographic Information for Text Classification. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021
Y. Li, and J. Oliva. Active Feature Acquisition with Generative Surrogate Models. International Conference on Machine Learning (ICML). Virtual, 2021.
Y. Li, and J. Oliva. Partially Observed Exchangeable Modeling. International Conference on Machine Learning (ICML). Virtual, 2021.
A. Mahmood, J. Oliva, and M. Styner. Multiscale Score Matching for Out-of-Distribution Detection. International Conference on Learning Representations (ICLR). Virtual, 2021.
Y. Li, H. Yi, C. Bender, S. Shan, and J. Oliva. Exchangeable Neural ODE for Set Modeling. Advances in Neural Information Processing Systems (NeurIPS). Virtual, 2020.
S. Shan, Y. Li, and J. Oliva. Meta-Neighborhoods. Advances in Neural Information Processing Systems (NeurIPS). Virtual, 2020.
Y. Li, S. Akbar, and J. Oliva. ACFlow: Flow Models for Arbitrary Conditional Likelihoods. International Conference on Machine Learning (ICML). Virtual, 2020.
C. Bender, Y. Li, Y. Shi, M. Reiter, and J. Oliva. Defense Through Diverse Directions. International Conference on Machine Learning (ICML). Virtual, 2020.
C. Bender*, K. O’Connor*, Y. Li, J. Garcia, M. Zaheer, and J. Oliva. Exchangeable Generative Models with Flow Scans. Association for the Advancement of Artificial Intelligence (AAAI). NYC, NY, 2020.
Y. Li, T. Gao, and J. Oliva. A Forest from the Trees: Generation through Neighborhoods. Association for the Advancement of Artificial Intelligence (AAAI). NYC, NY, 2020.
Y. Shi, J. Oliva, and M. Niethammer. Deep Message Passing on Sets. Association for the Advancement of Artificial Intelligence (AAAI). NYC, NY, 2020.
E. Park, and J. Oliva. Meta-Curvature. Advances in Neural Information Processing Systems (NeurIPS). Vancouver, Canada, 2019.
J. Oliva, A. Dubey, M. Zaheer, B.Póczos, R. Salakhutdinov, E. Xing, and J. Schneider. Transformation Autoregressive Networks. International Conference on Machine Learning (ICML). Stockholm, Sweden, 2018. (code)
J. Oliva, B. Póczos, and J. Schneider. The Statistical Recurrent Unit. International Conference on Machine Learning (ICML). Sydney, Australia, 2017.
S. Ravanbakhsh, J. Oliva, S. Fromenteau, L. Price, S. Ho, J. Schneider, & B. Póczos. Estimating cosmological parameters from the dark matter distribution. International Conference on Machine Learning (ICML). NYC, NY, 2016.
K. Kandasamy, G. Dasarathy, J. Oliva, J. Schneider, & B. Póczos. Gaussian process bandit optimisation with multi-fidelity evaluations. Advances in Neural Information Processing Systems (NIPS). Barcelona, Spain, 2016.
X. Wang, J. Oliva, J. Schneider, B. Póczos. Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems. The International Joint Conference on Artificial Intelligence (IJCAI). NYC, NY, 2016.
J. Oliva*, A. Dubey*, A. Wilson, B. Póczos, E. Xing, J. Schneider. Bayesian Nonparametric Kernel-Learning. International Conference on Artificial Intelligence and Statistics (AISTATS). Cadiz, Spain, 2016.
D. Sutherland*, J. Oliva*, B. Póczos, J. Schneider. Linear-time Learning on Distributions with Approximate Kernel Embeddings. Association for the Advancement of Artificial Intelligence (AAAI). Phoenix, AZ, 2016.
J. Oliva, W. Neiswanger, B. Póczos, E. Xing, and J. Schneider. Fast Function to Function Regression. International Conference on Artificial Intelligence and Statistics (AISTATS). San Diego, CA, 2015.
J. Oliva, B. Póczos, T. Verstynen, A. Singh, J. Schneider, F.C. Yeh, and E.Y. Tseng. FuSSO: Functional Shrinkage and Selection Operator. International Conference on Artificial Intelligence and Statistics (AISTATS). Reykjavik, Iceland, 2014.
J. Oliva, W. Neiswanger, B. Póczos, J. Schneider, and E. Xing. Fast Distribution to Real Regression. International Conference on Artificial Intelligence and Statistics (AISTATS). Reykjavik, Iceland, 2014.
J. Oliva, B. Póczos, and J. Schneider. Distribution to Distribution Regression. International Conference on Machine Learning (ICML). Atlanta, GA, 2013.