Josip Djolonga
Josip Djolonga
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TitleCited byYear
High-dimensional gaussian process bandits
J Djolonga, A Krause, V Cevher
Advances in Neural Information Processing Systems, 1025-1033, 2013
1002013
From MAP to marginals: Variational inference in bayesian submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems, 244-252, 2014
522014
Scalable Variational Inference in Log-supermodular Models.
J Djolonga, A Krause
ICML, 1804-1813, 2015
222015
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation.
S Tschiatschek, J Djolonga, A Krause
AISTATS, 770-779, 2016
162016
Higher-order inference for multi-class log-supermodular models
J Zhang, J Djolonga, A Krause
Proceedings of the IEEE International Conference on Computer Vision, 1859-1867, 2015
162015
Differentiable learning of submodular models
J Djolonga, A Krause
Advances in Neural Information Processing Systems, 1013-1023, 2017
152017
Variational inference in mixed probabilistic submodular models
J Djolonga, S Tschiatschek, A Krause
Advances in Neural Information Processing Systems, 1759-1767, 2016
15*2016
On mutual information maximization for representation learning
M Tschannen, J Djolonga, PK Rubenstein, S Gelly, M Lucic
arXiv preprint arXiv:1907.13625, 2019
42019
Cooperative graphical models
J Djolonga, S Jegelka, S Tschiatschek, A Krause
Advances in Neural Information Processing Systems, 262-270, 2016
32016
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
22019
Provable variational inference for constrained log-submodular models
J Djolonga, S Jegelka, A Krause
Advances in Neural Information Processing Systems, 2697-2707, 2018
12018
Learning implicit generative models using differentiable graph tests
J Djolonga, A Krause
arXiv preprint arXiv:1709.01006, 2017
12017
Variable clamping for optimization-based inference
J Zhao, J Djolonga, S Tschiatschek, A Krause
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
12016
Practical and Consistent Estimation of f-Divergences
PK Rubenstein, O Bousquet, J Djolonga, C Riquelme, I Tolstikhin
arXiv preprint arXiv:1905.11112, 2019
2019
Evaluating Generative Models Using Divergence Frontiers
J Djolonga, M Lucic, M Cuturi, O Bachem, O Bousquet, S Gelly
arXiv preprint arXiv:1905.10768, 2019
2019
Variational Inference in Probabilistic Submodular Models
J Djolonga
ETH Zurich, 2018
2018
torch-two-sample Documentation
J Djolonga
2017
Improving Optimization-Based Approximate Inference by Clamping Variables.
J Zhao, J Djolonga, S Tschiatschek, A Krause
UAI, 2017
2017
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