Junier Oliva
21 papers · 2013–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (41) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🧬
Topic Evolution
🌈
Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
⚡
Prolific Year · Productive
🚀
Conference Pioneer
💎
Century Club · Bronze
🗃️
Keyword Collector
(101)
Top co-authors
Research topics
Machine Learning
(18)
Core Methods
(12)
Learning Types · Machine Learning
(10)
Deep Learning
(9)
Artificial Intelligence
(7)
Models
(7)
Optimization & Theory
(7)
Architectures
(5)
Core AI
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Keywords
normalizing flow
(4)
density estimation
(4)
generative model
(4)
distribution regression
(3)
flow model
(2)
active feature acquisition
(2)
latent space
(2)
nonparametric regression
(2)
gaussian mixture model
(2)
metric learning
(1)
probabilistic modeling
(1)
variable selection
(1)
anomaly detection
(1)
text classification
(1)
contrastive learning
(1)
unsupervised learning
(1)
few-shot learning
(1)
point cloud
(1)
adversarial robustness
(1)
representation learning
(1)
Papers
Task Expansion and Cross Refinement for Open-World Conditional Modeling
UAI 2026
Towards Cost Sensitive Decision Making
AISTATS 2025
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
ICML 2024
A Unified Model for Longitudinal Multi-Modal Multi-View Prediction with Missingness
MICCAI 2024
Continuously Parameterized Mixture Models
ICML 2023
Practical Integration via Separable Bijective Networks
ICLR 2022
Active Feature Acquisition with Generative Surrogate Models
ICML 2021
Adversarial Scrubbing of Demographic Information for Text Classification
EMNLP 2021
Multiscale Score Matching for Out-of-Distribution Detection
ICLR 2021
Partially Observed Exchangeable Modeling
ICML 2021
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
ICML 2020
A Forest from the Trees: Generation through Neighborhoods
AAAI 2020
Deep Message Passing on Sets
AAAI 2020
Defense Through Diverse Directions
ICML 2020
Exchangeable Generative Models with Flow Scans
AAAI 2020
Transformation Autoregressive Networks
ICML 2018
Estimating Cosmological Parameters from the Dark Matter Distribution
ICML 2016
Fast Function to Function Regression
AISTATS 2015
Fast Distribution To Real Regression
AISTATS 2014
FuSSO: Functional Shrinkage and Selection Operator
AISTATS 2014
Distribution to Distribution Regression
ICML 2013