Stebėti
Sebastian Tschiatschek
Pavadinimas
Cituota
Cituota
Metai
Fake news detection in social networks via crowd signals
S Tschiatschek, A Singla, M Gomez Rodriguez, A Merchant, A Krause
Companion proceedings of the the web conference 2018, 517-524, 2018
3272018
Guarantees for greedy maximization of non-submodular functions with applications
AA Bian, JM Buhmann, A Krause, S Tschiatschek
International conference on machine learning, 498-507, 2017
2922017
Learning mixtures of submodular functions for image collection summarization
S Tschiatschek, RK Iyer, H Wei, JA Bilmes
Advances in neural information processing systems 27, 2014
2442014
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
Neural Information Processing (NeurIPS), 2019
2042019
Eddi: Efficient dynamic discovery of high-value information with partial vae
C Ma, S Tschiatschek, K Palla, JM Hernández-Lobato, S Nowozin, ...
arXiv preprint arXiv:1809.11142, 2018
1572018
On theoretical properties of sum-product networks
R Peharz, S Tschiatschek, F Pernkopf, P Domingos
Artificial Intelligence and Statistics, 744-752, 2015
1422015
A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions
I Chien, A Enrique, J Palacios, T Regan, D Keegan, D Carter, ...
JAMA network open 3 (7), e2010791-e2010791, 2020
1032020
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
C Ma, S Tschiatschek, JM Hernández-Lobato, R Turner, C Zhang
Advances in Neural Information Processing Systems, 2020
822020
Maximum margin Bayesian network classifiers
F Pernkopf, M Wohlmayr, S Tschiatschek
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 521-532, 2011
762011
Noisy submodular maximization via adaptive sampling with applications to crowdsourced image collection summarization
A Singla, S Tschiatschek, A Krause
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
742016
Successor uncertainties: exploration and uncertainty in temporal difference learning
D Janz, J Hron, P Mazur, K Hofmann, JM Hernández-Lobato, ...
Advances in Neural Information Processing Systems 32, 2019
702019
Resource-efficient neural networks for embedded systems
W Roth, G Schindler, B Klein, R Peharz, S Tschiatschek, H Fröning, ...
arXiv preprint arXiv:2001.03048, 2020
68*2020
Selecting sequences of items via submodular maximization
S Tschiatschek, A Singla, A Krause
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
592017
Exploring artificial intelligence for applications of drones in forest ecology and management
A Buchelt, A Adrowitzer, P Kieseberg, C Gollob, A Nothdurft, S Eresheim, ...
Forest Ecology and Management 551, 121530, 2024
582024
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 32, 2019
572019
Differentiable submodular maximization
S Tschiatschek, A Sahin, A Krause
arXiv preprint arXiv:1803.01785, 2018
532018
Teaching inverse reinforcement learners via features and demonstrations
L Haug, S Tschiatschek, A Singla
Advances in Neural Information Processing Systems 31, 2018
532018
Introduction to Probabilistic Graphical Models
F Pernkopf, R Peharz, S Tschiatschek
50*
Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
S Tschiatschek, A Gosh, L Haug, R Devidze, A Singla
Advances in Neural Information Processing Systems 32 6, 4122-4132, 2019
482019
On Bayesian Network Classifiers with Reduced Precision Parameters
S Tschiatschek, F Pernkopf
IEEE Transactions on Pattern Analysis & Machine Intelligence 4 (37), 774-785, 2015
482015
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Straipsniai 1–20