Publications
Search

Publications :: Search

Show author

On this page you see the details of the selected author.

    Author information
    First name: Pascal
    Last name: Poupart
    DBLP: 26/2122
    Rating: (not rated yet)
    Bookmark:

    Below you find the publications which have been written by this author.

    Show item 1 to 25 of 113  
    Select a publication
    Show Title Venue Rating Date
    Conference paper
    Wilson Hsu, Agastya Kalra, Pascal Poupart.
    Online Structure Learning for Sum-Product Networks with Gaussian Leaves.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Wenchao Du, Pascal Poupart, Wei Xu.
    Discovering Conversational Dependencies between Messages in Dialogs.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Conference paper
    Pascal Poupart.
    Bayesian Reinforcement Learning.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Pascal Poupart.
    Partially Observable Markov Decision Processes.
    Encyclopedia of Machine Learning and Data Mining 2017 (0) 2017
    Conference paper
    Pengfei Zhu, Xin Li, Pascal Poupart.
    On Improving Deep Reinforcement Learning for POMDPs.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Seyed Ershad Banijamali, Ali Ghodsi 0001, Pascal Poupart.
    Generative Mixture of Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Seyed Ershad Banijamali, Ali Ghodsi 0001, Pascal Poupart.
    Generative mixture of networks.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang Li.
    Deep Active Learning for Dialogue Generation.
    Proceedings of the 6th Joint Conference on Lexical and Computational Semantics, *SEM @ACM 2017, Vancouver, Canada, August 3-4, 2017 2017 (0) 2017
    Conference paper
    Saeed Nejati, Zack Newsham, Joseph Scott, Jia Hui (Jimmy) Liang, Catherine H. Gebotys, Pascal Poupart, Vijay Ganesh.
    A Propagation Rate Based Splitting Heuristic for Divide-and-Conquer Solvers.
    Theory and Applications of Satisfiability Testing - SAT 2017 - 20th International Conference, Melbourne, VIC, Australia, August 28 - September 1, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Jia Hui (Jimmy) Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh.
    An Empirical Study of Branching Heuristics Through the Lens of Global Learning Rate.
    Theory and Applications of Satisfiability Testing - SAT 2017 - 20th International Conference, Melbourne, VIC, Australia, August 28 - September 1, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Jongmin Lee, Youngsoo Jang, Pascal Poupart, Kee-Eung Kim.
    Constrained Bayesian Reinforcement Learning via Approximate Linear Programming.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Journal article
    Nabiha Asghar, Pascal Poupart, Jesse Hoey, Xin Jiang, Lili Mou.
    Affective Neural Response Generation.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui.
    Order-Planning Neural Text Generation From Structured Data.
    CoRR 2017, Volume 0 (0) 2017
    Journal article
    Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin.
    Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Hareesh Bahuleyan, Lili Mou, Olga Vechtomova, Pascal Poupart.
    Variational Attention for Sequence-to-Sequence Models.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Han Zhao, Pascal Poupart.
    A Unified Approach for Learning the Parameters of Sum-Product Networks.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Jia Hui (Jimmy) Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki.
    Exponential Recency Weighted Average Branching Heuristic for SAT Solvers.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
    Conference paper
    Mazen Melibari, Pascal Poupart, Prashant Doshi.
    Decision Sum-Product-Max Networks.
    Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 2016 (0) 2016
    Conference paper
    Mazen Melibari, Pascal Poupart, Prashant Doshi.
    Sum-Product-Max Networks for Tractable Decision Making: (Extended Abstract).
    Proceedings of the 2016 International Conference on Autonomous Agents Multiagent Systems, Singapore, May 9-13, 2016 2016 (0) 2016
    Conference paper
    Jia Hui (Jimmy) Liang, Vijay Ganesh, Pascal Poupart, Krzysztof Czarnecki.
    Learning Rate Based Branching Heuristic for SAT Solvers.
    Theory and Applications of Satisfiability Testing - SAT 2016 - 19th International Conference, Bordeaux, France, July 5-8, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Mazen Melibari, Pascal Poupart, Prashant Doshi.
    Sum-Product-Max Networks for Tractable Decision Making.
    Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016 2016 (0) 2016
    Conference paper
    Abdullah Rashwan, Han Zhao, Pascal Poupart.
    Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
    Conference paper
    Zhitang Chen, Pascal Poupart, Yanhui Geng.
    Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings.
    Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016, Cadiz, Spain, May 9-11, 2016 2016 (0) 2016
    Conference paper
    Mazen Melibari, Pascal Poupart, Prashant Doshi, George Trimponias.
    Dynamic Sum Product Networks for Tractable Inference on Sequence Data.
    Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings 2016 (0) 2016
    Conference paper
    Priyank Jaini, Abdullah Rashwan, Han Zhao, Yue Liu, Seyed Ershad Banijamali, Zhitang Chen, Pascal Poupart.
    Online Algorithms for Sum-Product Networks with Continuous Variables.
    Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings 2016 (0) 2016
    Show item 1 to 25 of 113  

    Your query returned 113 matches in the database.