Zhenwen Dai
15 papers · 2013–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(6)
β
The Questioner
ποΈ
Keyword Collector
(77)
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(10)
Artificial Intelligence
(8)
Deep Learning
(6)
Core Methods
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Models
(3)
Bayesian & Probabilistic Β· Machine Learning
(2)
Optimization
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Keywords
gaussian process
(6)
bayesian optimization
(5)
variational inference
(4)
surrogate model
(2)
latent variable model
(2)
transfer learning
(2)
variational autoencoder
(2)
preference learning
(1)
manifold learning
(1)
multi-task learning
(1)
uncertainty quantification
(1)
sequential decision making
(1)
hyperparameter optimization
(1)
knowledge transfer
(1)
temporal dynamics
(1)
model selection
(1)
unsupervised feature learning
(1)
supervised learning
(1)
visual feature learning
(1)
bayesian inference
(1)
Papers
In-context Exploration-Exploitation for Reinforcement Learning
ICLR 2024
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics
JMLR 2023
The ELBO of Variational Autoencoders Converges to a Sum of Entropies
AISTATS 2023
Efficient inference for dynamic topic modeling with large vocabularies
UAI 2022
Black-box density function estimation using recursive partitioning
ICML 2021
Model Selection for Production System via Automated Online Experiments
NeurIPS 2020
Modulating Surrogates for Bayesian Optimization
ICML 2020
Stochastic Variational Inference for Dynamic Correlated Topic Models
UAI 2020
Meta-Surrogate Benchmarking for Hyperparameter Optimization
NeurIPS 2019
Variational Information Distillation for Knowledge Transfer
CVPR 2019
Structured Variationally Auto-encoded Optimization
ICML 2018
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
NeurIPS 2017
Preferential Bayesian Optimization
ICML 2017
Batch Bayesian Optimization via Local Penalization
AISTATS 2016
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
NeurIPS 2013