Dai, Zhenwen

21 publications

ICLR 2024 In-Context Exploration-Exploitation for Reinforcement Learning Zhenwen Dai, Federico Tomasi, Sina Ghiassian

JMLR 2023 Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics Mu Niu, Zhenwen Dai, Pokman Cheung, Yizhu Wang

AISTATS 2023 The ELBO of Variational Autoencoders Converges to a Sum of Entropies Simon Damm, Dennis Forster, Dmytro Velychko, Zhenwen Dai, Asja Fischer, Jörg Lücke

UAI 2022 Efficient Inference for Dynamic Topic Modeling with Large Vocabularies Federico Tomasi, Mounia Lalmas, Zhenwen Dai

ICML 2021 Black-Box Density Function Estimation Using Recursive Partitioning Erik Bodin, Zhenwen Dai, Neill Campbell, Carl Henrik Ek

NeurIPSW 2021 Contrastive Embedding of Structured Space for Bayesian Optimization Josh Tingey, Ciarán Mark Gilligan-Lee, Zhenwen Dai

NeurIPSW 2021 Efficient Automated Online Experimentation with Multi-Fidelity Steven Kleinegesse, Zhenwen Dai, Andreas Damianou, Kamil Ciosek, Federico Tomasi

NeurIPS 2020 Model Selection for Production System via Automated Online Experiments Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia, Benjamin Carterette, Mounia Lalmas

ICML 2020 Modulating Surrogates for Bayesian Optimization Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill Campbell, Carl Henrik Ek

UAI 2020 Stochastic Variational Inference for Dynamic Correlated Topic Models Federico Tomasi, Praveen Chandar, Gal Levy-Fix, Mounia Lalmas-Roelleke, Zhenwen Dai

NeurIPS 2019 Meta-Surrogate Benchmarking for Hyperparameter Optimization Aaron Klein, Zhenwen Dai, Frank Hutter, Neil Lawrence, Javier Gonzalez

ICML 2018 Structured Variationally Auto-Encoded Optimization Xiaoyu Lu, Javier Gonzalez, Zhenwen Dai, Neil D. Lawrence

NeurIPS 2017 Efficient Modeling of Latent Information in Supervised Learning Using Gaussian Processes Zhenwen Dai, Mauricio Álvarez, Neil Lawrence

ICML 2017 Preferential Bayesian Optimization Javier González, Zhenwen Dai, Andreas Damianou, Neil D. Lawrence

AISTATS 2016 Batch Bayesian Optimization via Local Penalization Javier González, Zhenwen Dai, Philipp Hennig, Neil D. Lawrence

ICLR 2016 Recurrent Gaussian Processes César Lincoln C. Mattos, Zhenwen Dai, Andreas C. Damianou, Jeremy Forth, Guilherme A. Barreto, Neil D. Lawrence

ICLR 2016 Variational Auto-Encoded Deep Gaussian Processes Zhenwen Dai, Andreas C. Damianou, Javier González, Neil D. Lawrence

NeurIPS 2013 What Are the Invariant Occlusive Components of Image Patches? a Probabilistic Generative Approach Zhenwen Dai, Georgios Exarchakis, Jörg Lücke

CVPR 2012 Autonomous Cleaning of Corrupted Scanned Documents - A Generative Modeling Approach Zhenwen Dai, Jörg Lücke

CVPR 2012 Unsupervised Learning of Translation Invariant Occlusive Components Zhenwen Dai, Jörg Lücke

ICCV 2011 Pose Estimation from Reflections for Specular Surface Recovery Miaomiao Liu, Kwan-Yee Kenneth Wong, Zhenwen Dai, Zhihu Chen