Junier B. Oliva

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 42

Top Topics

Gaussian Process

Conditional Distributions

Demographic Information

Top Venues

Publications

David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
Deeply Learned Generalized Linear Models with Missing Data. J. Comput. Graph. Stat. 33 (2) (2024)
Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion. AAAI (2024)
Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva
Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion. CoRR (2023)
Siyuan Shan, Yang Li, Junier B. Oliva
NRTSI: Non-Recurrent Time Series Imputation. ICASSP (2023)
Ryan R. Strauss, Junier B. Oliva
Any Variational Autoencoder Can Do Arbitrary Conditioning. CoRR (2022)
David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
Deeply-Learned Generalized Linear Models with Missing Data. CoRR (2022)
Siyuan Shan, Vishal Athreya Baskaran, Haidong Yi, Jolene Ranek, Natalie Stanley, Junier B. Oliva
Transparent single-cell set classification with kernel mean embeddings. BCB (2022)
Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan, Natalie Stanley, Junier B. Oliva
Distribution-based sketching of single-cell samples. BCB (2022)
Ryan R. Strauss, Junier B. Oliva
Posterior Matching for Arbitrary Conditioning. NeurIPS (2022)
Vishal Athreya Baskaran, Jolene Ranek, Siyuan Shan, Natalie Stanley, Junier B. Oliva
Distribution-based Sketching of Single-Cell Samples. CoRR (2022)
Siyuan Shan, Junier B. Oliva
NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data. CoRR (2021)
Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi
Adversarial Scrubbing of Demographic Information for Text Classification. CoRR (2021)
Ryan R. Strauss, Junier B. Oliva
Arbitrary Conditional Distributions with Energy. CoRR (2021)
David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. CoRR (2021)
Ryan R. Strauss, Junier B. Oliva
Arbitrary Conditional Distributions with Energy. NeurIPS (2021)
Yang Li, Siyuan Shan, Qin Liu, Junier B. Oliva
Towards Robust Active Feature Acquisition. CoRR (2021)
Yang Li, Junier B. Oliva
Partially Observed Exchangeable Modeling. CoRR (2021)
Christopher M. Bender, Yang Li, Yifeng Shi, Michael K. Reiter, Junier B. Oliva
Defense Through Diverse Directions. CoRR (2020)
Siyuan Shan, Yang Li, Junier B. Oliva
Meta-Neighborhoods. NeurIPS (2020)
Yang Li, Junier B. Oliva
Active Feature Acquisition with Generative Surrogate Models. CoRR (2020)
Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva
Exchangeable Neural ODE for Set Modeling. NeurIPS (2020)
Yang Li, Junier B. Oliva
Dynamic Feature Acquisition with Arbitrary Conditional Flows. CoRR (2020)
Yang Li, Haidong Yi, Christopher M. Bender, Siyuan Shan, Junier B. Oliva
Exchangeable Neural ODE for Set Modeling. CoRR (2020)
Yifeng Shi, Christopher M. Bender, Junier B. Oliva, Marc Niethammer
Deep Goal-Oriented Clustering. CoRR (2020)
Yang Li, Shoaib Akbar, Junier B. Oliva
Flow Models for Arbitrary Conditional Likelihoods. CoRR (2019)
Eunbyung Park, Junier B. Oliva
Meta-Curvature. CoRR (2019)
Eunbyung Park, Junier B. Oliva
Meta-Curvature. NeurIPS (2019)
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Multi-fidelity Gaussian Process Bandit Optimisation. J. Artif. Intell. Res. 66 (2019)
Junier B. Oliva, Avinava Dubey, Manzil Zaheer, Barnabás Póczos, Ruslan Salakhutdinov, Eric P. Xing, Jeff Schneider
Transformation Autoregressive Networks. ICML (2018)
Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
The Statistical Recurrent Unit. ICML (2017)
Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
The Statistical Recurrent Unit. CoRR (2017)
Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne C. Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos
Estimating Cosmological Parameters from the Dark Matter Distribution. CoRR (2017)
Junier B. Oliva, Kumar Avinava Dubey, Barnabás Póczos, Eric P. Xing, Jeff G. Schneider
Recurrent Estimation of Distributions. CoRR (2017)
Danica J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
Linear-Time Learning on Distributions with Approximate Kernel Embeddings. AAAI (2016)
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. NIPS (2016)
Siamak Ravanbakhsh, Junier B. Oliva, Sebastian Fromenteau, Layne Price, Shirley Ho, Jeff G. Schneider, Barnabás Póczos
Estimating Cosmological Parameters from the Dark Matter Distribution. ICML (2016)
Xuezhi Wang, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems. IJCAI (2016)
Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
Multi-fidelity Gaussian Process Bandit Optimisation. CoRR (2016)
Junier B. Oliva, Avinava Dubey, Andrew Gordon Wilson, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
Bayesian Nonparametric Kernel-Learning. AISTATS (2016)
Danica J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
Linear-time Learning on Distributions with Approximate Kernel Embeddings. CoRR (2015)
Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider
Fast Function to Function Regression. AISTATS (2015)
Junier B. Oliva, Danica J. Sutherland, Barnabás Póczos, Jeff G. Schneider
Deep Mean Maps. CoRR (2015)
Junier B. Oliva, Barnabás Póczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng
FuSSO: Functional Shrinkage and Selection Operator. AISTATS (2014)
Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Jeff G. Schneider
Fast Function to Function Regression. CoRR (2014)
Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
Fast Distribution To Real Regression. AISTATS (2014)
Junier B. Oliva, Barnabás Póczos, Timothy D. Verstynen, Aarti Singh, Jeff G. Schneider, Fang-Cheng Yeh, Wen-Yih Isaac Tseng
FuSSO: Functional Shrinkage and Selection Operator. CoRR (2013)
Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
Fast Distribution To Real Regression. CoRR (2013)
Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
Distribution to Distribution Regression. ICML (3) (2013)