Matt J. Kusner
Matt J. Kusner
Associate Professor, University of Oxford
Verified email at cs.ox.ac.uk - Homepage
TitleCited byYear
From word embeddings to document distances
M Kusner, Y Sun, N Kolkin, K Weinberger
International Conference on Machine Learning, 957-966, 2015
6552015
Counterfactual fairness
MJ Kusner, J Loftus, C Russell, R Silva
Advances in Neural Information Processing Systems, 4066-4076, 2017
1432017
Grammar variational autoencoder
MJ Kusner, B Paige, JM Hernández-Lobato
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1282017
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML, 937-945, 2014
1192014
Cost-sensitive tree of classifiers
Z Xu, M Kusner, K Weinberger, M Chen
International Conference on Machine Learning, 133-141, 2013
932013
Gans for sequences of discrete elements with the gumbel-softmax distribution
MJ Kusner, JM Hernández-Lobato
arXiv preprint arXiv:1611.04051, 2016
822016
Supervised Word Mover's Distance
G Huang, C Guo, MJ Kusner, Y Sun, F Sha, KQ Weinberger
Advances in Neural Information Processing Systems, 3270-3278, 2016
572016
Classifier cascades and trees for minimizing feature evaluation cost
Z Xu, MJ Kusner, KQ Weinberger, M Chen, O Chapelle
The Journal of Machine Learning Research 15 (1), 2113-2144, 2014
572014
Stochastic neighbor compression
M Kusner, S Tyree, K Weinberger, K Agrawal
International Conference on Machine Learning, 622-630, 2014
492014
Deep manifold traversal: Changing labels with convolutional features
JR Gardner, P Upchurch, MJ Kusner, Y Li, KQ Weinberger, K Bala, ...
arXiv preprint arXiv:1511.06421, 2015
422015
Feature-cost sensitive learning with submodular trees of classifiers
M Kusner, W Chen, Q Zhou, ZE Xu, K Weinberger, Y Chen
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
372014
Fast distributed k-center clustering with outliers on massive data
G Malkomes, MJ Kusner, W Chen, KQ Weinberger, B Moseley
Advances in Neural Information Processing Systems, 1063-1071, 2015
252015
When worlds collide: integrating different counterfactual assumptions in fairness
C Russell, MJ Kusner, J Loftus, R Silva
Advances in Neural Information Processing Systems, 6414-6423, 2017
222017
Differentially private Bayesian optimization
M Kusner, J Gardner, R Garnett, K Weinberger
International Conference on Machine Learning, 918-927, 2015
192015
TAPAS: tricks to accelerate (encrypted) prediction as a service
A Sanyal, MJ Kusner, A Gascón, V Kanade
ICML, 2018
162018
Anytime representation learning
Z Xu, M Kusner, G Huang, K Weinberger
International Conference on Machine Learning, 1076-1084, 2013
152013
Blind justice: fairness with encrypted sensitive attributes
N Kilbertus, A Gascón, MJ Kusner, M Veale, KP Gummadi, A Weller
ICML, 2018
112018
Causal reasoning for algorithmic fairness
JR Loftus, C Russell, MJ Kusner, R Silva
arXiv preprint arXiv:1805.05859, 2018
102018
Learning a generative model for validity in complex discrete structures
D Janz, J van der Westhuizen, B Paige, MJ Kusner, ...
ICLR, 2018
82018
Causal Interventions for Fairness
MJ Kusner, C Russell, JR Loftus, R Silva
arXiv preprint arXiv:1806.02380, 2018
52018
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