Distribution to Distribution Regression. - Junier B. Oliva; Barnabás Póczos; Jeff G. Schneider (ICML (3), 2013)

Fast Distribution To Real Regression. - Junier B. Oliva; Willie Neiswanger; Barnabás Póczos; Jeff G. Schneider; Eric P. Xing (AISTATS, 2014)

FuSSO: Functional Shrinkage and Selection Operator. - Junier B. Oliva; Barnabás Póczos; Timothy D. Verstynen; Aarti Singh; Jeff G. Schneider; Fang-Cheng Yeh; Wen-Yih Isaac Tseng (AISTATS, 2014)

Fast Function to Function Regression. - Junier B. Oliva; Willie Neiswanger; Barnabás Póczos; Eric P. Xing; Jeff G. Schneider (CoRR, 2014)

Fast Function to Function Regression. - Junier B. Oliva; Willie Neiswanger; Barnabás Póczos; Eric P. Xing; Hy Trac; Shirley Ho; Jeff G. Schneider (AISTATS, 2015)

Deep Mean Maps. - Junier B. Oliva; Danica J. Sutherland; Barnabás Póczos; Jeff G. Schneider (CoRR, 2015)

Linear-Time Learning on Distributions with Approximate Kernel Embeddings. - Danica J. Sutherland; Junier B. Oliva; Barnabás Póczos; Jeff G. Schneider (AAAI, 2016)

Bayesian Nonparametric Kernel-Learning. - Junier B. Oliva; Avinava Dubey; Andrew Gordon Wilson; Barnabás Póczos; Jeff G. Schneider; Eric P. Xing (AISTATS, 2016)

Estimating Cosmological Parameters from the Dark Matter Distribution. - Siamak Ravanbakhsh; Junier B. Oliva; Sebastian Fromenteau; Layne Price; Shirley Ho; Jeff G. Schneider; Barnabás Póczos (ICML, 2016)

Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems. - Xuezhi Wang 002; Junier B. Oliva; Jeff G. Schneider; Barnabás Póczos (IJCAI, 2016)

Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. - Kirthevasan Kandasamy; Gautam Dasarathy; Junier B. Oliva; Jeff G. Schneider; Barnabás Póczos (NIPS, 2016)

The Statistical Recurrent Unit. - Junier B. Oliva; Barnabás Póczos; Jeff G. Schneider (ICML, 2017)

Recurrent Estimation of Distributions. - Junier B. Oliva; Kumar Avinava Dubey; Barnabás Póczos; Eric P. Xing; Jeff G. Schneider (CoRR, 2017)

Transformation Autoregressive Networks. - Junier B. Oliva; Avinava Dubey; Manzil Zaheer; Barnabás Póczos; Ruslan Salakhutdinov; Eric P. Xing; Jeff Schneider 001 (ICML, 2018)

Meta-Curvature. - Eunbyung Park; Junier B. Oliva (NeurIPS, 2019)

Permutation Invariant Likelihoods and Equivariant Transformations. - Christopher M. Bender; Juan Jose Garcia; Kevin O'Connor; Junier Oliva (CoRR, 2019)

MolecularRNN: Generating realistic molecular graphs with optimized properties. - Mariya Popova; Mykhailo Shvets; Junier Oliva; Olexandr Isayev (CoRR, 2019)

Flow Models for Arbitrary Conditional Likelihoods. - Yang Li 012; Shoaib Akbar; Junier B. Oliva (CoRR, 2019)

Meta-Neighborhoods. - Siyuan Shan; Junier Oliva (CoRR, 2019)

Multi-fidelity Gaussian Process Bandit Optimisation. - Kirthevasan Kandasamy; Gautam Dasarathy; Junier B. Oliva; Jeff G. Schneider; Barnabás Póczos (J. Artif. Intell. Res., 2019)

Distribution and Histogram (DisH) Learning. - Junier B. Oliva (2019)

Exchangeable Generative Models with Flow Scans. - Christopher M. Bender; Kevin O'Connor; Yang Li 012; Juan Jose Garcia; Junier Oliva; Manzil Zaheer (AAAI, 2020)

A Forest from the Trees: Generation through Neighborhoods. - Yang Li 012; Tianxiang Gao; Junier Oliva (AAAI, 2020)

Deep Message Passing on Sets. - Yifeng Shi; Junier Oliva; Marc Niethammer (AAAI, 2020)

Defense Through Diverse Directions. - Christopher M. Bender; Yang Li 012; Yifeng Shi; Michael K. Reiter; Junier Oliva (ICML, 2020)

ACFlow: Flow Models for Arbitrary Conditional Likelihoods. - Yang Li 012; Shoaib Akbar; Junier Oliva (ICML, 2020)

Exchangeable Neural ODE for Set Modeling. - Yang Li 012; Haidong Yi; Christopher M. Bender; Siyuan Shan; Junier B. Oliva (NeurIPS, 2020)

Meta-Neighborhoods. - Siyuan Shan; Yang Li 012; Junier B. Oliva (NeurIPS, 2020)

Deep Goal-Oriented Clustering. - Yifeng Shi; Christopher M. Bender; Junier B. Oliva; Marc Niethammer (CoRR, 2020)

Dynamic Feature Acquisition with Arbitrary Conditional Flows. - Yang Li 012; Junier B. Oliva (CoRR, 2020)

Adversarial Scrubbing of Demographic Information for Text Classification. - Somnath Basu Roy Chowdhury; Sayan Ghosh; Yiyuan Li; Junier Oliva; Shashank Srivastava; Snigdha Chaturvedi (EMNLP (1), 2021)

Multiscale Score Matching for Out-of-Distribution Detection. - Ahsan Mahmood; Junier Oliva; Martin Andreas Styner (ICLR, 2021)

Active Feature Acquisition with Generative Surrogate Models. - Yang Li 012; Junier Oliva (ICML, 2021)

Partially Observed Exchangeable Modeling. - Yang Li 012; Junier Oliva (ICML, 2021)

Arbitrary Conditional Distributions with Energy. - Ryan R. Strauss; Junier B. Oliva (NeurIPS, 2021)

Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders. - David K. Lim; Naim U. Rashid; Junier B. Oliva; Joseph G. Ibrahim (CoRR, 2021)

NRTSI: Non-Recurrent Time Series Imputation for Irregularly-sampled Data. - Siyuan Shan; Junier B. Oliva (CoRR, 2021)

Towards Robust Active Feature Acquisition. - Yang Li 012; Siyuan Shan; Qin Liu; Junier B. Oliva (CoRR, 2021)

Distribution-based sketching of single-cell samples. - Vishal Athreya Baskaran; Jolene Ranek; Siyuan Shan; Natalie Stanley; Junier B. Oliva (BCB, 2022)

Transparent single-cell set classification with kernel mean embeddings. - Siyuan Shan; Vishal Athreya Baskaran; Haidong Yi; Jolene Ranek; Natalie Stanley; Junier B. Oliva (BCB, 2022)

Practical Integration via Separable Bijective Networks. - Christopher M. Bender; Patrick Emmanuel; Michael K. Reiter; Junier Oliva (ICLR, 2022)

Learning to Retrieve Videos by Asking Questions. - Avinash Madasu; Junier Oliva; Gedas Bertasius (ACM Multimedia, 2022)

Posterior Matching for Arbitrary Conditioning. - Ryan R. Strauss; Junier B. Oliva (NeurIPS, 2022)

Interpretable Single-Cell Set Classification with Kernel Mean Embeddings. - Siyuan Shan; Vishal Baskaran; Haidong Yi; Jolene Ranek; Natalie Stanley; Junier Oliva (CoRR, 2022)

Any Variational Autoencoder Can Do Arbitrary Conditioning. - Ryan R. Strauss; Junier B. Oliva (CoRR, 2022)

NRTSI: Non-Recurrent Time Series Imputation. - Siyuan Shan; Yang Li 012; Junier B. Oliva (ICASSP, 2023)

Continuously Parameterized Mixture Models. - Christopher M. Bender; Yifeng Shi; Marc Niethammer; Junier Oliva (ICML, 2023)

Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion. - Siyuan Shan; Yang Li 012; Amartya Banerjee; Junier B. Oliva (AAAI, 2024)

Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition. - Michael Valancius; Max Lennon; Junier Oliva (ICML, 2024)

A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness. - Boqi Chen; Junier Oliva; Marc Niethammer (MICCAI (12), 2024)

EMOE: Expansive Matching of Experts for Robust Uncertainty Based Rejection. - Yunni Qu; James Wellnitz; Alexander Tropsha; Junier Oliva (CoRR, 2024)

Localizing Anomalies via Multiscale Score Matching Analysis. - Ahsan Mahmood; Junier Oliva; Martin Styner (CoRR, 2024)

Distribution Guided Active Feature Acquisition. - Yang Li 012; Junier Oliva (CoRR, 2024)

Dynamic Information Sub-Selection for Decision Support. - Hung-Tien Huang; Maxwell Lennon; Shreyas Bhat Brahmavar; Sean Sylvia; Junier B. Oliva (CoRR, 2024)

Anomaly detection via Gumbel Noise Score Matching. - Ahsan Mahmood; Junier Oliva; Martin Andreas Styner (Frontiers Artif. Intell., 2024)

Deeply Learned Generalized Linear Models with Missing Data. - David K. Lim; Naim U. Rashid; Junier B. Oliva; Joseph G. Ibrahim (J. Comput. Graph. Stat., 2024)

Towards Cost Sensitive Decision Making. - Yang Li 012; Junier Oliva (AISTATS, 2025)

Framework for bias evaluation in large language models in healthcare settings. - Tara Templin; Sophia Fort; Prasanna Padmanabham; Pratyush Seshadri; Ram Rimal; Junier Oliva; Kristin Hassmiller Lich; Sean Sylvia; Nasa Sinnott-Armstrong (npj Digit. Medicine, 2025)

VIN-NBV: A View Introspection Network for Next-Best-View Selection for Resource-Efficient 3D Reconstruction. - Noah Frahm; Dongxu Zhao 002; Andrea Dunn Beltran; Ron Alterovitz; Jan-Michael Frahm; Junier Oliva; Roni Sengupta (CoRR, 2025)

NOCTA: Non-Greedy Objective Cost-Tradeoff Acquisition for Longitudinal Data. - Dzung Dinh; Boqi Chen; Marc Niethammer; Junier Oliva (CoRR, 2025)

Towards Universal Neural Inference. - Shreyas Bhat Brahmavar; Yang Li 012; Junier Oliva (CoRR, 2025)