Junier B. Oliva

51 papers A* 11A 4Misc 1Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Information Templates: A New Paradigm for Intelligent Active Feature Acquisition. CoRR Hung-Tien Huang, Dzung Dinh, Junier B. Oliva
2024	J	`jnl`	Deeply Learned Generalized Linear Models with Missing Data. J. Comput. Graph. Stat. David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
2024	J	`jnl`	Dynamic Information Sub-Selection for Decision Support. CoRR Hung-Tien Huang, Maxwell Lennon, Shreyas Bhat Brahmavar, Sean Sylvia, Junier B. Oliva
2024	A*	`conf`	Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion. AAAI Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva
2023	Misc	`conf`	NRTSI: Non-Recurrent Time Series Imputation. ICASSP Siyuan Shan, Yang Li, Junier B. Oliva
2023	J	`jnl`	Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion. CoRR Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva
2022	J	`jnl`	Any Variational Autoencoder Can Do Arbitrary Conditioning. CoRR Ryan R. Strauss, Junier B. Oliva
2022	J	`jnl`	Deeply-Learned Generalized Linear Models with Missing Data. CoRR David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
2022	J	`jnl`	Distribution-based Sketching of Single-Cell Samples. CoRR Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan, Natalie Stanley, Junier B. Oliva
2022	—	`conf`	Distribution-based sketching of single-cell samples. BCB Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan, Natalie Stanley, Junier B. Oliva
2022	A*	`conf`	Posterior Matching for Arbitrary Conditioning. NeurIPS Ryan R. Strauss, Junier B. Oliva
2022	—	`conf`	Transparent single-cell set classification with kernel mean embeddings. BCB Siyuan Shan, Vishal Athreya Baskaran, Haidong Yi, Jolene Ranek, Natalie Stanley, Junier B. Oliva
2021	J	`jnl`	Adversarial Scrubbing of Demographic Information for Text Classification. CoRR Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi
2021	A*	`conf`	Arbitrary Conditional Distributions with Energy. NeurIPS Ryan R. Strauss, Junier B. Oliva
2021	J	`jnl`	Arbitrary Conditional Distributions with Energy. CoRR Ryan R. Strauss, Junier B. Oliva
2021	J	`jnl`	Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. CoRR David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
2021	J	`jnl`	NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data. CoRR Siyuan Shan, Junier B. Oliva
2021	J	`jnl`	Partially Observed Exchangeable Modeling. CoRR Yang Li, Junier B. Oliva
2021	J	`jnl`	Towards Robust Active Feature Acquisition. CoRR Yang Li, Siyuan Shan, Qin Liu, Junier B. Oliva
2020	J	`jnl`	Active Feature Acquisition with Generative Surrogate Models. CoRR Yang Li, Junier B. Oliva
2020	J	`jnl`	Deep Goal-Oriented Clustering. CoRR Yifeng Shi, Christopher M. Bender, Junier B. Oliva, Marc Niethammer
2020	J	`jnl`	Defense Through Diverse Directions. CoRR Christopher M. Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier B. Oliva
2020	J	`jnl`	Dynamic Feature Acquisition with Arbitrary Conditional Flows. CoRR Yang Li, Junier B. Oliva
2020	A*	`conf`	Exchangeable Neural ODE for Set Modeling. NeurIPS Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva
2020	J	`jnl`	Exchangeable Neural ODE for Set Modeling. CoRR Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva
2020	A*	`conf`	Meta-Neighborhoods. NeurIPS Siyuan Shan, Yang Li, Junier B. Oliva
2019	—	`—`	Distribution and Histogram (DisH) Learning. Junier B. Oliva
2019	J	`jnl`	Flow Models for Arbitrary Conditional Likelihoods. CoRR Yang Li, Shoaib Akbar, Junier B. Oliva
2019	A*	`conf`	Meta-Curvature. NeurIPS Eunbyung Park, Junier B. Oliva
2019	J	`jnl`	Meta-Curvature. CoRR Eunbyung Park, Junier B. Oliva
2019	J	`jnl`	Multi-fidelity Gaussian Process Bandit Optimisation. J. Artif. Intell. Res. Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
2018	A*	`conf`	Transformation Autoregressive Networks. ICML Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider
2017	J	`jnl`	Estimating Cosmological Parameters from the Dark Matter Distribution. CoRR Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne C. Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos
2017	J	`jnl`	Recurrent Estimation of Distributions. CoRR Junier B. Oliva, Kumar Avinava Dubey, Barnabás Póczos, Eric P. Xing, Jeff G. Schneider
2017	A*	`conf`	The Statistical Recurrent Unit. ICML Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
2017	J	`jnl`	The Statistical Recurrent Unit. CoRR Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
2016	A	`conf`	Bayesian Nonparametric Kernel-Learning. AISTATS Junier B. Oliva, Avinava Dubey, Andrew Gordon Wilson, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
2016	A*	`conf`	Estimating Cosmological Parameters from the Dark Matter Distribution. ICML Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos
2016	—	`conf`	Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. NIPS Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
2016	A*	`conf`	Linear-Time Learning on Distributions with Approximate Kernel Embeddings. AAAI Danica J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
2016	J	`jnl`	Multi-fidelity Gaussian Process Bandit Optimisation. CoRR Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
2016	A*	`conf`	Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems. IJCAI Xuezhi Wang, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
2015	J	`jnl`	Deep Mean Maps. CoRR Junier B. Oliva, Danica J. Sutherland, Barnabás Póczos, Jeff G. Schneider
2015	A	`conf`	Fast Function to Function Regression. AISTATS Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider
2015	J	`jnl`	Linear-time Learning on Distributions with Approximate Kernel Embeddings. CoRR Danica J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
2014	A	`conf`	Fast Distribution To Real Regression. AISTATS Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
2014	J	`jnl`	Fast Function to Function Regression. CoRR Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Jeff G. Schneider
2014	A	`conf`	FuSSO: Functional Shrinkage and Selection Operator. AISTATS Junier B. Oliva, Barnabás Póczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng
2013	—	`conf`	Distribution to Distribution Regression. ICML (3) Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
2013	J	`jnl`	Fast Distribution To Real Regression. CoRR Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
2013	J	`jnl`	FuSSO: Functional Shrinkage and Selection Operator. CoRR Junier B. Oliva, Barnabás Póczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng