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Information Directed Reward Learning for Reinforcement Learning


Feb 24, 2021
David Lindner, Matteo Turchetta, Sebastian Tschiatschek, Kamil Ciosek, Andreas Krause


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Reinforcement Learning with Efficient Active Feature Acquisition


Nov 02, 2020
Haiyan Yin, Yingzhen Li, Sinno Jialin Pan, Cheng Zhang, Sebastian Tschiatschek


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Replication-Robust Payoff-Allocation with Applications in Machine Learning Marketplaces


Jun 25, 2020
Dongge Han, Shruti Tople, Alex Rogers, Michael Wooldridge, Olga Ohrimenko, Sebastian Tschiatschek


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VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data


Jun 21, 2020
Chao Ma, Sebastian Tschiatschek, José Miguel Hernández-Lobato, Richard Turner, Cheng Zhang


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Large-Scale Educational Question Analysis with Partial Variational Auto-encoders


Mar 12, 2020
Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, Jose Miguel Hernandez-Lobato, Simon Peyton Jones, Cheng Zhang

* 19 pages, 13 figures 

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Resource-Efficient Neural Networks for Embedded Systems


Jan 07, 2020
Wolfgang Roth, Günther Schindler, Matthias Zöhrer, Lukas Pfeifenberger, Robert Peharz, Sebastian Tschiatschek, Holger Fröning, Franz Pernkopf, Zoubin Ghahramani

* arXiv admin note: text overlap with arXiv:1812.02240 

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Collaborative Machine Learning Markets with Data-Replication-Robust Payments


Nov 08, 2019
Olga Ohrimenko, Shruti Tople, Sebastian Tschiatschek


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Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck


Oct 28, 2019
Maximilian Igl, Kamil Ciosek, Yingzhen Li, Sebastian Tschiatschek, Cheng Zhang, Sam Devlin, Katja Hofmann

* Published at Neurips 2019 

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Towards Deployment of Robust AI Agents for Human-Machine Partnerships


Oct 05, 2019
Ahana Ghosh, Sebastian Tschiatschek, Hamed Mahdavi, Adish Singla


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Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model


Aug 14, 2019
Wenbo Gong, Sebastian Tschiatschek, Richard Turner, Sebastian Nowozin, José Miguel Hernández-Lobato, Cheng Zhang


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Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints


Jun 02, 2019
Sebastian Tschiatschek, Ahana Ghosh, Luis Haug, Rati Devidze, Adish Singla


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Efficient and Robust Machine Learning for Real-World Systems


Dec 05, 2018
Franz Pernkopf, Wolfgang Roth, Matthias Zoehrer, Lukas Pfeifenberger, Guenther Schindler, Holger Froening, Sebastian Tschiatschek, Robert Peharz, Matthew Mattina, Zoubin Ghahramani


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Teaching Inverse Reinforcement Learners via Features and Demonstrations


Oct 23, 2018
Luis Haug, Sebastian Tschiatschek, Adish Singla

* NIPS'2018 (extended version) 

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Successor Uncertainties: exploration and uncertainty in temporal difference learning


Oct 15, 2018
David Janz, Jiri Hron, José Miguel Hernández-Lobato, Katja Hofmann, Sebastian Tschiatschek


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EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE


Oct 12, 2018
Chao Ma, Sebastian Tschiatschek, Konstantina Palla, José Miguel Hernández-Lobato, Sebastian Nowozin, Cheng Zhang


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Sum-Product Networks for Sequence Labeling


Jul 06, 2018
Martin Ratajczak, Sebastian Tschiatschek, Franz Pernkopf


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Differentiable Submodular Maximization


Jun 14, 2018
Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause


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Variational Inference for Data-Efficient Model Learning in POMDPs


May 23, 2018
Sebastian Tschiatschek, Kai Arulkumaran, Jan Stühmer, Katja Hofmann


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Learning User Preferences to Incentivize Exploration in the Sharing Economy


Nov 24, 2017
Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause

* Longer version of AAAI'18 paper. arXiv admin note: text overlap with arXiv:1702.02849 

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Guarantees for Greedy Maximization of Non-submodular Functions with Applications


Jun 13, 2017
Andrew An Bian, Joachim M. Buhmann, Andreas Krause, Sebastian Tschiatschek

* ICML 2017 

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Coordinated Online Learning With Applications to Learning User Preferences


Feb 09, 2017
Christoph Hirnschall, Adish Singla, Sebastian Tschiatschek, Andreas Krause


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Actively Learning Hemimetrics with Applications to Eliciting User Preferences


May 27, 2016
Adish Singla, Sebastian Tschiatschek, Andreas Krause

* Extended version of ICML'16 paper 

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Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization


Dec 01, 2015
Adish Singla, Sebastian Tschiatschek, Andreas Krause

* Extended version of AAAI'16 paper 

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