Items where Author is "Tschiatschek, Sebastian"

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Number of items: 74.

Journal Paper

  • Information that matters: Exploring information needs of people affected by algorithmic decisions
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian International Journal of Human-Computer Studies. ISSN 1071-5819 Elsevier (2024)

  • Exploring artificial intelligence for applications of drones in forest ecology and management
    Buchelt, Alexander and Adrowitzer, Alexander and Kieseberg, Peter and Gollob, Christoph and Nothdurft, Arne and Eresheim, Sebastian and Tschiatschek, Sebastian and Stampfer, Karl and Holzinger, Andreas ISSN 0378-1127 (2024)

  • Resource-Efficient Neural Networks for Embedded Systems
    Roth, Wolfgang and Schindler, Günther and Klein, Bernhard and Peharz, Robert and Tschiatschek, Sebastian and Fröning, Holger and Pernkopf, Franz and Ghahramani, Zoubin pp. 1-51 ISSN 1532-4435 (2024)

  • Replication Robust Payoff Allocation in Submodular Cooperative Games
    Han, Dongge and Wooldridge, Michael and Rogers, Alex and Ohrimenko, Olga and Tschiatschek, Sebastian pp. 1-15 ISSN 2691-4581 IEEE (2022)

  • A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions
    Chien, Isabel and Enrique, Angel and Palacios, Jorge and Regan, Tim and Keegan, Dessie and Carter, David and Tschiatschek, Sebastian and Nori, Aditya and Thieme, Anja and Richards, Derek and Doherty, Gavin and Belgrave, Danielle JAMA network open, 3 (7). e2010791-e2010791 ISSN 25743805 American Medical Association (2020)

  • Hybrid Generative-Discriminative Training of Gaussian Mixture Models
    Roth, Wolfgang and Peharz, Robert and Tschiatschek, Sebastian and Pernkopf, Franz Pattern Recognition Letters, 112. pp. 131-137 ISSN 0167-8655 Elsevier (2018)

  • Bayesian Network Classifiers with Reduced Precision Parameters
    Tschiatschek, Sebastian and Reinprecht, Peter and Mücke, Manfred and Pernkopf, Franz pp. 74-89 Springer (2012)

  • Maximum Margin Bayesian Network Classifiers
    Pernkopf, Franz and Wohlmayr, Michael and Tschiatschek, Sebastian IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34 (3). pp. 521-531 ISSN 0162-8828 IEEE (2012)

    • Paper in Conference Proceedings or in Workshop Proceedings

  • On Differentiable Bayesian Causal Structure Learning
    Rittel, Simon and Tschiatschek, Sebastian In: 40th Conference on Uncertainty in Artifical Intelligence , 15.-19.07.2024 , Barcelona, Spain (2024)

  • Posterior Consistency for Missing Data in Variational Autoencoders
    Sudak, Timur and Tschiatschek, Sebastian In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery 2023 , 18-22 Sep 2023 , Turin, Italy (2023)

  • Specifying Prior Beliefs over DAGs in Deep Bayesian Causal Structure Learning
    Rittel, Simon and Tschiatschek, Sebastian In: 26th European Conference on Artificial Intelligence ECAI 2023 , 30 Sep - 5 Oct 2023 , Kraków, Poland (2023)

  • The IJCAI-23 joint workshop on artificial intelligence safety and safe reinforcement learning (AISafety-SafeRL2023)
    Pedroza, Gabriel and Chen, Xin Cynthia and Hernández-Orallo, José and Huang, Xiaowei and Theodorou, Andreas and Matragkas, Nikolaos and Espinoza, Huascar and Mallah, Richard and McDermid, John and Castillo-Effen, Mauricio and Bossens, David and Koenighofer, Bettina and Tschiatschek, Sebastian and Liu, Anqi In: THE 32nd International Joint Conference on Artificial Intelligence , 19.08.-25.08.2023 , Macau, China (2023)

  • On the Impact of Explanations on Understanding of Algorithmic Decision-Making
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian In: ACM FAccT Conference 2023 , 12-15 Jun 2023 , Chicago, USA (2023)

  • Learning Constraints From Human Stop-Feedback in Reinforcement Learning
    Poletti, Silvia and Testolin, Alberto and Tschiatschek, Sebastian In: The 22nd International Conference on Autonomous Agents and Multiagent Systems London, 29 May-2 June 2023 , 29.05-02.06.2023 , London, UK (2023)

  • Applying Interdisciplinary Frameworks to Understand Algorithmic Decision-Making
    Schmude, Timothée and Koesten, Laura and Möller, Torsten and Tschiatschek, Sebastian In: ACM CHI Conference on Human Factors in Computing Systems 2023 , Apr 23-28 , Hamburg (2023)

  • Adaptive Scaffolding in Block-Based Programming via Synthesizing New Tasks as Pop Quizzes
    Ghosh, Ahana and Tschiatschek, Sebastian and Devlin, Sam and Singla, Adish In: Artificial Intelligence in Education: 23rd International Conference, AIED 2022 , 27.-31.07.2022 , Durham, UK (2022)

  • Equity and Fairness of Bayesian Knowledge Tracing
    Tschiatschek, Sebastian and Knobelsdorf, Maria and Singla, Adish In: The 15th International Conference on Educational Data Mining, EDM 2022 , 24.-27.06.2022 , Durham, UK (2022)

  • Option Transfer and SMDP Abstraction with Successor Features
    Han, Dongge and Tschiatschek, Sebastian In: The 31st International Joint Conference on Artificial Inteligence, IJCAI-ECAI 2022 , 23.-29.07.2022 , Messe Wien, Vienna, Austria (2022)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas In: The Thirty-ninth International Conference on Machine Learning , 17.-23.07.2022 , Baltimore, USA (2022)

  • MDP Abstraction with Successor Features
    Han, Dongge and Wooldridge, Michael and Tschiatschek, Sebastian In: AAAI-22 Workshop on Reinforcement Learning in Games , 28.02.2022 , Virtual (2022)

  • Information Directed Reward Learning for Reinforcement Learning
    Lindner, David and Turchetta, Matteo and Tschiatschek, Sebastian and Ciosek, Kamil and Krause, Andreas In: Thirty-fifth Conference on Neural Information Processing Systems (2021) , 07 Dec - 10 Dec 2021 , virtual-only (2021)

  • Details (Don't) Matter: Isolating Cluster Information in Deep Embedded Spaces
    Miklautz, Lukas and Bauer, Lena G. M. and Mautz, Dominik and Tschiatschek, Sebastian and Böhm, Christian and Plant, Claudia In: Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21) , 19.-27.08.2021 , Montreal, Canada (2021)

  • Social Sensemaking with AI: Designing an Open-ended AI Experience with a Blind Child
    Morrison, Cecily and Cutrell, Edward and Grayson, Martin and Thieme, Anja and Taylor, Alex S. and Roumen, Geert and Longden, Camilla and Tschiatschek, Sebastian and Marques, Rita Faia and Sellen, Abigail In: Conference on Human Factors in Computing Systems (CHI 2021) , 08.-13.05.2021 , Yokohama, Japan - virtual (2021)

  • Educational Question Mining At Scale: Prediction, Analysis and Personalization
    Wang, Zichao and Tschiatschek, Sebastian and Woodhead, Simon and Hernández-Lobato, José Miguel and Jones, Simon Peyton and Baraniuk, Richard G. and Zhang, Cheng In: 35th Conference on Artificial Intelligence (AAAI) , 02.-09.02.2021 , Virtual (2021)

  • Sequential Generative Exploration Model for Partially Observable Reinforcement Learning
    Yin, Haiyan and Chen, Jianda and Tschiatschek, Sebastian In: 35th Conference on Artificial Intelligence (AAAI) , 02.-09.02.2021 , Virtual (2021)

  • AMRL: Aggregated Memory For Reinforcement Learning
    Beck, Jacob and Ciosek, Kamil and Devlin, Sam and Tschiatschek, Sebastian and Zhang, Cheng and Hofmann, Katja In: Eighth International Conference on Learning Representations (ICLR) , 26.-30.04.2020 , Addis Ababa, Ethiopia (2020)

  • Towards Deployment of Robust Cooperative AI Agents: An Algorithmic Framework for Learning Adaptive Policies
    Ghosh, Ahana and Tschiatschek, Sebastian and Mahdavi, Hamed and Singla, Adish In: 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) , 09.-13.05.2020 , Auckland (NZ); Virtual (Covid) (2020)

  • HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals
    Ma, Chao and Tschiatschek, Sebastian and Li, Yingzhen and Turner, Richard and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: 2nd Symposium on Advances in Approximate Bayesian Inference (AABI) , 08.12.2019 , Vancouver (2020)

  • VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
    Ma, Chao and Tschiatschek, Sebastian and Turner, Richard E and Hernandez-Lobato, Jose Miguel and Zhang, Cheng In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS) , 06.-12.12.2020 , Virtual (2020)

  • Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
    Gong, Wenbo and Tschiatschek, Sebastian and Turner, Richard and Nowozin, Sebastian and Hernández-Lobato, José Miguel In: 33ed Conference Neural Information Processing Systems (NeurIPS) , 08.-14.12.2019 , Vancouver, Canada (2019)

  • Generalization in Reinforcement Learning with Selective Noise Injection and Information
    Igl, Maximilian and Ciosek, Kamil and Li, Yingzhen and Tschiatschek, Sebastian and Zhang, Cheng and Devlin, Sam and Hofmann, Katja In: 33ed Conference Neural Information Processing Systems (NeurIPS) , 08.-14.12.2019 , Vancouver, Canada (2019)

  • Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints
    Tschiatschek, Sebastian and Ghosh, Ahana and Haug, Luis and Devidze, Rati and Singla, Adish In: 33ed Conference Neural Information Processing Systems (NeurIPS) , 08.-14.12.2019 , Vancouver, Canada (2019)

  • Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
    Janz, David and Hron, Jiri and Mazur, Przemysław and Hofmann, Katja and Hernández-Lobato, José Miguel and Tschiatschek, Sebastian In: 33ed Conference Neural Information Processing Systems (NeurIPS) , 08.-14.12.2019 , Vancouver, Canada (2019)

  • Teaching inverse reinforcement learners via features and demonstrations
    Haug, Luis and Tschiatschek, Sebastian and Singla, Adish In: Thirty-second Conference on Neural Information Processing Systems (NIPS) 2018 , 03.-07.12.2018 , Montreal, Canada (2018)

  • Differentiable Submodular Maximization
    Tschiatschek, Sebastian and Sahin, Aytunc and Krause, Andreas In: International Conference on Artificial Intelligence (IJCAI) , 13.-19.06.2018 , Stockholm, Sweden (2018)

  • Fake News Detection in Social Networks via Crowd Signals
    Tschiatschek, Sebastian and Singla, Adish and Gomez Rodriguez, Manuel and Merchant, Arpit and Krause, Andreas In: Companion of the The Web Conference 2018 (WWW) , 23.-27.04.2018 , Lyon, France (2018)

  • Learning User Preferences to Incentivize Exploration in the Sharing Economy
    Hirnschall, Christhop and Singla, Adish and Tschiatschek, Sebastian and Krause, Andreas In: Conference on Artificial Intelligence (AAAI) , 02.-07.02.2018 , New Orleans, Louisiana, USA (2018)

  • Improving Optimization-Based Approximate Inference by Clamping Variables
    Zhao, Junyao and Djolonga, Josip and Tschiatschek, Sebastian and Krause, Andreas In: Uncertainty in Artificial Intelligence (UAI) , 11.-15.08.2017 , Sidney, Australia (2017)

  • Guarantees for Greedy Maximization of Non-submodular Functions with Applications
    Bian, Andrew An and Buhmann, Joachim M. and Krause, Andreas and Tschiatschek, Sebastian In: Thirty-fourth International Conference on Machine Learning (ICML) , 06.-11.08.2017 , Sidney, Australia (2017)

  • Selecting Sequences of Items via Submodular Maximization
    Tschiatschek, Sebastian and Singla, Adish and Krause, Andreas In: Conference on Artificial Intelligence (AAAI) , 04.-10.02.2017 , San Francisco, California, USA (2017)

  • Frame and Segment Level Recurrent Neural Networks for Phone Classification
    Ratajczak, Martin and Tschiatschek, Sebastian and Pernkopf, Franz In: Conference of the International Speech Communication Association (INTERSPEECH) , 20.-24.08.2017 , Stockholm, Sweden (2017)

  • Cooperative Graphical Models
    Djolonga, Josip and Jegelka, Stefanie and Tschiatschek, Sebastian and Krause, Andreas In: Neural Information Processing Systems (NIPS) , 05.-10.12.2016 , Barcelona, Spain (2016)

  • Variational Inference in Mixed Probabilistic Submodular Models
    Djolonga, Josip and Tschiatschek, Sebastian and Krause, Andreas In: Neural Information Processing Systems (NIPS) , 05.-10.12.2016 , Barcelona, Spain (2016)

  • Virtual Adversarial Training Applied to Neural Higher-Order Factors for Phone Classification
    Ratajczak, Martin and Tschiatschek, Sebastian and Pernkopf, Franz In: Annual Conference of the International Speech Communication Association (INTERSPEECH) , 08.-12.09.2016 , San Francisco, California, USA (2016)

  • Actively Learning Hemimetrics with Applications to Eliciting User Preferences
    Singla, Adish and Tschiatschek, Sebastian and Krause, Andreas In: International Conference on Machine Learning (ICML) , 19.-24.06.2016 , New York, New York, USA (2016)

  • Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation
    Tschiatschek, Sebastian and Djolonga, Josip and Krause, Andreas In: International Conference on Artificial Intelligence and Statistics (AISTATS) , 09.-11.05.2016 , Cadiz, Spain (2016)

  • Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
    Singla, Adish and Tschiatschek, Sebastian and Krause, Andreas In: Conference on Artificial Intelligence (AAAI) , 12.-17.02.2016 , Phoenix, Arizona, USA (2016)

  • Message Scheduling Methods for Belief Propagation
    Knoll, Christian and Rath, Michael and Tschiatschek, Sebastian and Pernkopf, Franz In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) , 07.-11.09.2015 , Porto, Portugal (2015)

  • Parameter Learning of Bayesian Network Classifiers Under Computational Constraints
    Tschiatschek, Sebastian and Pernkopf, Franz In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) , 07.-11.09.2015 , Porto, Portugal (2015)

  • Structured Regularizer for Neural Higher-Order Sequence Models
    Ratajczak, Martin and Tschiatschek, Sebastian and Pernkopf, Franz In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) , 07.-11.09.2015 , Porto, Portugal (2015)

  • Neural Higher-Order Factors in Conditional Random Fields for Phoneme Classification
    Ratajczak, Martin and Tschiatschek, Sebastian and Pernkopf, Franz In: Conference of the International Speech Communication Association (INTERSPEECH) , 06.-10.09.2015 , Dresden, Germany (2015)

  • On Theoretical Properties of Sum-Product Networks
    Peharz, Robert and Tschiatschek, Sebastian and Pernkopf, Franz and Domingos, Pedro M. In: International Conference on Artificial Intelligence and Statistics (AISTATS) , 09.-12.05.2015 , San Diego, California, USA (2015)

  • Learning Mixtures of Submodular Functions for Image Collection Summarization
    Tschiatschek, Sebastian and Iyer, Rishabh and Wei, Haochen and Bilmes, Jeff In: Neural Information Processing Systems (NIPS) , 08.-13.12.2014 , Montreal, Canada (2014)

  • Integer Bayesian Network Classifiers
    Tschiatschek, Sebastian and Paul, Karin and Pernkopf, Franz In: European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD) , 15.-19.09.2014 , Nancy, France (2014)

  • The Most Generative Maximum Margin Bayesian Networks
    Peharz, Robert and Tschiatschek, Sebastian and Pernkopf, Franz In: International Conference on Machine Learning (ICML) , 16.-21.06.2013 , Atlanta, USA (2013)

  • Bounds for Bayesian Network Classifiers with Reduced Precision Parameters
    Tschiatschek, Sebastian and Cancino Chacón, Carlos Eduardo and Pernkopf, Franz In: International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 26.-31.05.2013 , Vancouver, Canada (2013)

  • Asymptotic Optimality of Maximum Margin Bayesian Networks
    Tschiatschek, Sebastian and Pernkopf, Franz In: International Conference on Artificial Intelligence and Statistics (AISTATS) , 29.04.-01.05.2013 , Scottsdale, Arizona, USA (2013)

  • Handling Missing Features in Maximum Margin Bayesian Network Classifiers
    Tschiatschek, Sebastian and Mutsam, Nikolaus and Pernkopf, Franz In: International Workshop on Machine Learning for Signal Processing (MLSP) , 23.-26.099.2012 , Santander, Spain (2012)

  • Convex Combinations of Maximum Margin Bayesian Network Classifiers
    Tschiatschek, Sebastian and Pernkopf, Franz In: International Conference on Pattern Recognition Applications and Methods (ICPRAM) , 06.-08.02.2012 , Vilamoura, Portugal (2012)

    • Book Section/Chapter

  • Introduction to Probabilistic Graphical Models
    Pernkopf, Franz and Peharz, Robert and Tschiatschek, Sebastian In: Academic Press Library in Signal Processing. Elsevier, pp. 989-1064 (2014)

    • Technical Report

  • Active Third-Person Imitation Learning
    Klein, Timo and Weinberger, Susanna and Adish, Singla and Tschiatschek, Sebastian Working Paper. CoRR arXiv (2023)

  • Large Language Models for In-Context Student Modeling: Synthesizing Student's Behavior in Visual Programming from One-Shot Observation
    Nguyen, Manh Hung and Tschiatschek, Sebastian and Singla, Adish Working Paper. CoRR arXiv (2023)

  • Collecting observations for machine learning
    Zhang, Cheng and Wenbo, GONG and Turner, Richard and Tschiatschek, Sebastian and HERNÁNDEZ LOBATO, Josè Miguel Other. UNSPECIFIED (Submitted) (2023)

  • Learning Safety Constraints from Demonstrations with Unknown Rewards
    Lindner, David and Chen, Xin and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Technical Report. CoRR arXiv (2023)

  • Interactively Learning Preference Constraints in Linear Bandits
    Lindner, David and Tschiatschek, Sebastian and Hofmann, Katja and Krause, Andreas Working Paper. CoRR arXiv (Submitted) (2022)

  • Equity and Fairness of Bayesian Knowledge Tracing
    Tschiatschek, Sebastian and Knobelsdorf, Maria and Singla, Adish Working Paper. CoRR arXiv (Submitted) (2022)

  • Option Transfer and SMDP Abstraction with Successor Features
    Han, Dongge and Tschiatschek, Sebastian Working Paper. CoRR arXiv (Submitted) (2021)

  • Contextual HyperNetworks for Novel Feature Adaptation
    Lamb, Angus and Saveliev, Evgeny and Li, Yingzhen and Tschiatschek, Sebastian and Longden, Camilla and Woodhead, Simon and Hernández-Lobato, José Miguel and Turner, Richard E. and Cameron, Pashmina and Zhang, Cheng Working Paper. CoRR arXiv (Submitted) (2021)

  • Information Directed Reward Learning for Reinforcement Learning
    Lindner, David and Turchetta, Matteo and Tschiatschek, Sebastian and Ciosek, Kamil and Krause, Andreas Working Paper. CoRR arXiv (Submitted) (2021)

  • Reinforcement Learning with Efficient Active Feature Acquisition
    Yin, Haiyan and Li, Yingzhen and Pan, Sinno Jialin and Zhang, Cheng and Tschiatschek, Sebastian Working Paper. CoRR arXiv (Submitted) (2020)

  • Replication-Robust Payoff-Allocation for Machine Learning Data Markets
    Han, Dongge and Wooldridge, Michael and Rogers, Alex and Tople, Shruti and Ohrimenko, Olga and Tschiatschek, Sebastian Working Paper. CoRR arXiv (Submitted) (2020)

  • Resource-Efficient Neural Networks for Embedded Systems
    Roth, Wolfgang and Schindler, Günther and Zöhrer, Matthias and Pfeifenberger, Lukas and Peharz, Robert and Tschiatschek, Sebastian and Fröning, Holger and Pernkopf, Franz and Ghahramani, Zoubin Working Paper. CoRR arXiv (Submitted) (2020)

  • Optimally Searching for Cancer Genes Using Submodular Models
    Dresdner, Gideon and Tschiatschek, Sebastian and and Gunnar Rätsch, Viktor Gál Technical Report. UNSPECIFIED (Unpublished) (2018)

  • Sum-Product Networks for Structured Prediction: Context-Specific Deep Conditional Random Fields
    Ratajczak, Martin and Tschiatschek, Sebastian and Pernkopf, Franz Technical Report. UNSPECIFIED (2014)

    • This list was generated on Tue Dec 3 06:43:37 2024 CET.
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