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Publications

2018
Differentiable Submodular Maximization
Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause
In Joint Conference on Artificial Intelligence (IJCAI) 2018.
[bibtex] [pdf] [long]
Variational Inference for Data-Efficient Model Learning in POMDPs
Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann
In arXiv preprint arXiv:1805.09281 2018.
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Fake News Detection in Social Networks via Crowd Signals
Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez, Arpit Merchant, Andreas Krause
In Companion of the The Web Conference 2018 (WWW) 2018.
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Hybrid Generative-Discriminative Training of Gaussian Mixture Models
Wolfgang Roth, Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
In Pattern Recognition Letters Elsevier 2018.
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Sum-Product Networks for Sequence Labeling
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
In arXiv preprint arXiv:1807.02324 2018.
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Optimally Searching for Cancer Genes Using Submodular Models
Sebastian Tschiatschek Viktor Gál Gideon Dresdner, Gunnar Rätsch
Technical report, 2018.
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Learning User Preferences to Incentivize Exploration in the Sharing Economy
Christhop Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause
In Conference on Artificial Intelligence (AAAI) 2018.
[bibtex] [pdf]
2017
Improving Optimization-Based Approximate Inference by Clamping Variables
Junyao Zhao, Josip Djolonga, Sebastian Tschiatschek, Andreas Krause
In Uncertainty in Artificial Intelligence (UAI) 2017.
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Quantum-classical truncated Newton method for high-dimensional energy landscapes
Leonard Wossnig, Sebastian Tschiatschek, Stefan Zohren
Technical report, 2017.
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Selecting Sequences of Items via Submodular Maximization
Sebastian Tschiatschek, Adish Singla, Andreas Krause
In Conference on Artificial Intelligence (AAAI) 2017.
[bibtex] [pdf] [long]
Frame and Segment Level Recurrent Neural Networks for Phone Classification
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
In Conference of the International Speech Communication Association (Interspeech) 2017.
[bibtex] [pdf]
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek
In International Conference on Machine Learning (ICML) 2017.
[bibtex] [pdf]
2016
Actively Learning Hemimetrics with Applications to Eliciting User Preferences
Adish Singla, Sebastian Tschiatschek, Andreas Krause
In International Conference on Machine Learning (ICML) 2016.
[bibtex] [pdf] [long]
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
Sebastian Tschiatschek, Josip Djolonga, Andreas Krause
In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS) 2016.
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Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
Adish Singla, Sebastian Tschiatschek, Andreas Krause
In Conference on Artificial Intelligence (AAAI) 2016.
[bibtex] [pdf] [long]
Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
In Conference of the International Speech Communication Association (Interspeech) 2016.
[bibtex] [pdf]
Variational Inference in Mixed Probabilistic Submodular Models
Josip Djolonga, Sebastian Tschiatschek, Andreas Krause
In Neural Information Processing Systems (NIPS) 2016.
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Cooperative Graphical Models
Josip Djolonga, Stefanie Jegelka, Sebastian Tschiatschek, Andreas Krause
In Neural Information Processing Systems (NIPS) 2016.
[bibtex] [pdf]
2015
Parameter Learning of Bayesian Network Classifiers Under Computational Constraints
Sebastian Tschiatschek, Franz Pernkopf
In European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2015.
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On Reduced Precision Bayesian Network Classifiers.
Sebastian Tschiatschek, Franz Pernkopf
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) volume 37 2015.
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Structured Regularizer for Neural Higher-Order Sequence Models
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
In European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2015.
[bibtex] [pdf]
Neural Higher-Order Factors in Conditional Random Fields for Phoneme Classification
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
In Conference of the International Speech Communication Association (INTERSPEECH) 2015.
[bibtex] [pdf]
On Theoretical Properties of Sum-Product Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf, Pedro M. Domingos
In International Conference on Artificial Intelligence and Statistics (AISTATS) 2015.
[bibtex] [pdf] [long]
Message Scheduling Methods for Belief Propagation
Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf
In European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2015.
[bibtex] [pdf]
2014
Integer Bayesian Network Classifiers
Sebastian Tschiatschek, Karin Paul, Franz Pernkopf
In European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2014.
[bibtex]
Learning Mixtures of Submodular Functions for Image Collection Summarization
Sebastian Tschiatschek, Rishabh Iyer, Haochen Wei, Jeff Bilmes
In Neural Information Processing Systems (NIPS) 2014.
[bibtex] [pdf]
Sum-Product Networks for Structured Prediction: Context-Specific Deep Conditional Random Fields
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf
Technical report, 2014.
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Introduction to Probabilistic Graphical Models
Franz Pernkopf, Robert Peharz, Sebastian Tschiatschek
Chapter in 18 Elsevier volume 1 2014.
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2013
Bounds for Bayesian Network Classifiers with Reduced Precision Parameters
Sebastian Tschiatschek, Carlos Eduardo Cancino Chacón, Franz Pernkopf
In International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2013.
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Asymptotic Optimality of Maximum Margin Bayesian Networks
Sebastian Tschiatschek, Franz Pernkopf
In International Conference on Artificial Intelligence and Statistics (AISTATS) 2013.
[bibtex]
The Most Generative Maximum Margin Bayesian Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf
In International Conference on Machine Learning (ICML) volume 28 2013.
[bibtex] [pdf] [long]
2012
Bayesian Network Classifiers with Reduced Precision Parameters
Sebastian Tschiatschek, Peter Reinprecht, Manfred Mücke, Franz Pernkopf
In European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) 2012.
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Handling Missing Features in Maximum Margin Bayesian Network Classifiers
Sebastian Tschiatschek, Nikolaus Mutsam, Franz Pernkopf
In International Workshop on Machine Learning for Signal Processing (MLSP) 2012.
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Convex Combinations of Maximum Margin Bayesian Network Classifiers
Sebastian Tschiatschek, Franz Pernkopf
In International Conference on Pattern Recognition Applications and Methods (ICPRAM) 2012.
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Maximum Margin Bayesian Network Classifiers
Franz Pernkopf, Michael Wohlmayr, Sebastian Tschiatschek
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) volume 34 2012.
[bibtex] [pdf]