Uncertainty in Artificial Intelligence

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  • 2021

    An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting

    Saadallah, A., Tavakol, M. & Morik, K., 2021, (Geaccepteerd/In druk) IEEE International Conference on Data Engineering (ICDE).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Learning Gradient Boosted Multi-label Classification Rules

    Rapp, M., Mencía, E. L., Fürnkranz, J., Nguyen, V-L. & Hüllermeier, E., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (redactie). Springer, blz. 124-140 17 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12459 LNAI).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • PS3: Partition-Based Skew-Specialized Sampling for Batch Mode Active Learning in Imbalanced Text Data

    Fajri, R., Khoshrou, S., Peharz, R. & Pechenizkiy, M., 2021, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings. Dong, Y., Mladenic, D. & Saunders, C. (redactie). Springer Science and Business Media Deutschland GmbH, blz. 68-84 17 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12461 LNAI).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • 2020

    Distantly Supervised Question Parsing

    Zafar, H., Tavakol, M. & Lehmann, J., 24 aug 2020, ECAI 2020 - 24th European Conference on Artificial Intelligence, including 10th Conference on Prestigious Applications of Artificial Intelligence, PAIS 2020 - Proceedings. De Giacomo, G., Catala, A., Dilkina, B., Milano, M., Barro, S., Bugarin, A. & Lang, J. (redactie). IOS Press, blz. 2290-2297 8 blz. (Frontiers in Artificial Intelligence and Applications; vol. 325).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)
  • Fair Classification with Counterfactual Learning

    Tavakol, M., 25 jul 2020, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. blz. 2073-2076 4 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • HyperUCB - Hyperparameter Optimization Using Contextual Bandits

    Tavakol, M., Mair, S. & Morik, K., 2020, Machine Learning and Knowledge Discovery in Databases - International Workshops of ECML PKDD 2019, Proceedings. Cellier, P. & Driessens, K. (redactie). Springer, blz. 44-50 7 blz. (Communications in Computer and Information Science; vol. 1167 CCIS).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Towards Robust Classification with Deep Generative Forests

    Correia, A. H. C., Peharz, R. & Campos, C. D., 11 jul 2020, ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Bestand
    12 Downloads (Pure)
  • 2019

    An experimental study of prior dependence in Bayesian network structure learning

    Correia, A. H. C., de Campos, C. P. & van der Gaag, L. C., 2019, Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications. De Bock, J., de Campos, C. P., de Cooman, G., Quaeghebeur, E. & Wheeler, G. (redactie). PMLR, blz. 78-81 4 blz. (Proceedings of Machine Learning Research; vol. 103).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • Automatic Bayesian Density Analysis

    Vergari, A., Molina, A., Peharz, R., Ghahramani, Z., Kersting, K. & Valera, I., 2019, Proceedings of The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). AAAI Press, blz. 5207-5215 8 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • Bayesian Learning of Sum-Product Networks

    Trapp, M., Peharz, R., Ge, H., Pernkopf, F. & Ghahramani, Z., 26 mei 2019, Advances in Neural Information Processing Systems (NeurIPS). Curran Associates, blz. 6347-6358 (Advances in Neural Information Processing Systems; vol. 32).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)
  • Faster attend-infer-repeat with tractable probabilistic models

    Stelzner, K., Peharz, R. & Kersting, K., 1 jan 2019, 36th International Conference on Machine Learning, ICML 2019. Proceedings of Machine Learning Research, blz. 10455-10466 12 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    3 Citaten (Scopus)
  • Hierarchical decompositional mixtures of variational autoencoders

    Tan, P. L. & Peharz, R., 1 jan 2019, 36th International Conference on Machine Learning, ICML 2019. Proceedings of Machine Learning Research, blz. 10701-10711 11 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Human-in-the-loop feature selection

    Correia, A. H. C. & Lecue, F., 23 jul 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. Palo Alto: AAAI Press, blz. 2438-2445 8 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
    1 Citaat (Scopus)
  • Minimal random code learning: Getting bits back from compressed model parameters

    Havasi, M., Peharz, R. & Hernández-Lobato, J. M., 1 jan 2019, International Conference on Learning Representations. 7 redactie

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

  • Random sum-product networks: A simple and effective approach to probabilistic deep learning

    Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., Kersting, K. & Ghahramani, Z., 2019, Conference on Uncertainty in Artificial Intelligence (UAI).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    8 Citaten (Scopus)
  • Robustness in sum-product networks with continuous and categorical data

    de Wit, R. C., de Campos, C. P., Conaty, D. & Martínez del Rincon, J., 2019, Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications. De Bock, J., de Campos, C. P., de Cooman, G., Quaeghebeur, E. & Wheeler, G. (redactie). PMLR, blz. 156-158 3 blz. (Proceedings of Machine Learning Research; vol. 103).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Open Access
  • Towards scalable and robust sum-product networks

    Correia, A. H. C. & de Campos, C. P., 2019, Scalable Uncertainty Management - 13th International Conference, SUM 2019, Proceedings. Ben Amor, N., Quost, B. & Theobald, M. (redactie). Cham: Springer, blz. 409-422 14 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11940 LNAI).

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)
    6 Downloads (Pure)
  • 2016

    Partial Data Querying Through Racing Algorithms

    Nguyen, V-L., Destercke, S. & Masson, M-H., 2016, Integrated Uncertainty in Knowledge Modelling and Decision Making 2016. Springer, blz. 163-174

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    1 Citaat (Scopus)