Papers

Working Papers

More coming soon.

REFEREED PUBLICATIONS

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.

*: Authors contributed equally