Cheng Zhang
Cheng Zhang
Principal Researcher, Microsoft Research, Cambridge, UK
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Advances in Variational Inference
C Zhang, J Butepage, H Kjellstrom, S Mandt
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification
C Zhang, H Kjellström, S Mandt
UAI, 2017
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
C Ma, S Tschiatschek, K Palla, JMH Lobato, S Nowowzin, C Zhang
ICML, 2019
Generalization in reinforcement learning with selective noise injection and information bottleneck
M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann
arXiv preprint arXiv:1910.12911, 2019
Perturbative Black Box Variational Inference
C Zhang*, R Bamler*, M Opper, S Mandt*
NIPS, 2017
Active Mini-Batch Sampling using Repulsive Point Processes
C Zhang, C Öztireli, S Mandt, G Salvi
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI),, 2019
Icebreaker: Element-wise efficient information acquisition with a bayesian deep latent gaussian model
W Gong, S Tschiatschek, S Nowozin, RE Turner, JM Hernández-Lobato, ...
How to supervise topic models
C Zhang, H Kjellström
European Conference on Computer Vision, 500-515, 2014
Supervised Hierarchical Dirichlet Processes with Variational Inference
C Zhang, CH Ek, X Gratal, FT Pokorny, H Kjellstrom
IEEE ICCV Workshop on InferPGM, 2013
Partial VAE for Hybrid Recommender System
C Ma, W Gong, JM Hernandez-Lobato, N Koenigstein, S Nowozin, ...
NIPS Workshop on Bayesian Deep Learning, 2018
Interpretable outcome prediction with sparse Bayesian neural networks in intensive care
H Overweg, AL Popkes, A Ercole, Y Li, JM Hernández-Lobato, Y Zaykov, ...
arXiv preprint arXiv:1905.02599, 2019
A hierarchical grocery store image dataset with visual and semantic labels
M Klasson, C Zhang, H Kjellstrom
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019
Causal discovery in the presence of missing data
R Tu, C Zhang, P Ackermann, C Glymour, H Kjellström, K Zhang
A Causal View on Robustness of Neural Networks
C Zhang, K Zhang, Y Li
Instructions and Guide for Diagnostic Questions: The NeurIPS 2020 Education Challenge
Z Wang, A Lamb, E Saveliev, P Cameron, Y Zaykov, ...
arXiv preprint arXiv:2007.12061, 2020
Factorized Topic Models
C Zhang, CH Ek, H Kjellstrom
2013 International Conference on Learning Representations, 2013
VAEM: a deep generative model for heterogeneous mixed type data
C Ma, S Tschiatschek, JM Hernández-Lobato, R Turner, C Zhang
arXiv preprint arXiv:2006.11941, 2020
Contextual modeling with Labeled Multi-LDA
C Zhang, D Song, H Kjellström
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2013
Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation
R Tu, K Zhang, BC Bertilson, H Kjellstöm, C Zhang
NeurIPS, 2019
Diagnostic Prediction Using Discomfort Drawing with IBTM
C Zhang, H Kjellström, CH Ek, BC Bertilson
Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA, 2016
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