ML Anthology

Oliva, Junier B.

15 publications

AAAI 2024 Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion Siyuan Shan, Yang Li, Amartya Banerjee, Junier B. Oliva
NeurIPS 2022 Posterior Matching for Arbitrary Conditioning Ryan Strauss, Junier B Oliva
NeurIPS 2021 Arbitrary Conditional Distributions with Energy Ryan Strauss, Junier B Oliva
NeurIPS 2020 Exchangeable Neural ODE for Set Modeling Yang Li, Haidong Yi, Christopher Bender, Siyuan Shan, Junier B Oliva
NeurIPS 2020 Meta-Neighborhoods Siyuan Shan, Yang Li, Junier B Oliva
NeurIPS 2019 Meta-Curvature Eunbyung Park, Junier B Oliva
JAIR 2019 Multi-Fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy, Gautam Dasarathy, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
ICML 2017 The Statistical Recurrent Unit Junier B. Oliva, Barnabás Póczos, Jeff Schneider
AISTATS 2016 Bayesian Nonparametric Kernel-Learning Junier B. Oliva, Avinava Dubey, Andrew Gordon Wilson, Barnabás Póczos, Jeff G. Schneider, Eric P. Xing
NeurIPS 2016 Gaussian Process Bandit Optimisation with Multi-Fidelity Evaluations Kirthevasan Kandasamy, Gautam Dasarathy, Junier B Oliva, Jeff Schneider, Barnabas Poczos
AAAI 2016 Linear-Time Learning on Distributions with Approximate Kernel Embeddings Danica J. Sutherland, Junier B. Oliva, Barnabás Póczos, Jeff G. Schneider
IJCAI 2016 Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems Xuezhi Wang, Junier B. Oliva, Jeff G. Schneider, Barnabás Póczos
AISTATS 2015 Fast Function to Function Regression Junier B. Oliva, Willie Neiswanger, Barnabás Póczos, Eric P. Xing, Hy Trac, Shirley Ho, Jeff G. Schneider
AISTATS 2014 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