Cheng Zhang
Cheng Zhang
Microsoft Research, Cambridge
Verified email at kth.se - Homepage
Title
Cited by
Cited by
Year
Advances in Variational Inference
C Zhang, J Butepage, H Kjellstrom, S Mandt
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
1682018
Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification
C Zhang, H Kjellström, S Mandt
UAI, 2017
53*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
362019
Perturbative Black Box Variational Inference
C Zhang*, R Bamler*, M Opper, S Mandt*
NIPS, 2017
23*2017
How to supervise topic models
C Zhang, H Kjellström
European Conference on Computer Vision, 500-515, 2014
192014
Supervised Hierarchical Dirichlet Processes with Variational Inference
C Zhang, CH Ek, X Gratal, FT Pokorny, H Kjellstrom
IEEE ICCV Workshop on InferPGM, 2013
192013
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
182019
Partial VAE for Hybrid Recommender System
C Ma, W Gong, JM Hernandez-Lobato, N Koenigstein, S Nowozin, ...
NIPS Workshop on Bayesian Deep Learning, 2018
122018
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
Advances in Neural Information Processing Systems, 13978-13990, 2019
102019
Icebreaker: Element-wise efficient information acquisition with a bayesian deep latent gaussian model
W Gong, S Tschiatschek, S Nowozin, RE Turner, JM Hernández-Lobato, ...
Advances in Neural Information Processing Systems, 14820-14831, 2019
9*2019
Factorized Topic Models
C Zhang, CH Ek, H Kjellstrom
2013 International Conference on Learning Representations, 2013
92013
Contextual modeling with Labeled Multi-LDA
C Zhang, D Song, H Kjellström
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2013
92013
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
72019
Inter-Battery Topic Representation Learning
C Zhang, H Kjellstrom, CH Ek
European Conference on Computer Vision (ECCV), 2016
72016
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
62019
Causal discovery in the presence of missing data
R Tu, C Zhang, P Ackermann, C Glymour, H Kjellström, K Zhang
AISTATS, 2019
52019
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
52016
GroupBox: A generative model for group recommendation
C Zhang, M Gartrell, TP Minka, Y Zaykov, J Guiver
http://research.microsoft.com/apps/pubs/?id=251683, 2015
52015
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation
C Hamesse, R Tu, P Ackermann, H Kjellstrom, C Zhang
MLHC, 2019
42019
AMRL: AGGREGATED MEMORY FOR REINFORCEMENT LEARNING
J Beck, K Ciosek, S Devlin, S Tschiatschek, C Zhang, K Hofmann
ICLR, 2020
32020
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