According to our database1, Laurent Charlin authored at least 19 papers between 2006 and 2018.
Legend:Book In proceedings Article PhD thesis Other
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version.
Towards Deep Conversational Recommendations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus.
A Sparse Probabilistic Model of User Preference Data.
Proceedings of the Advances in Artificial Intelligence, 2017
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Modeling User Exposure in Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016
On the Evaluation of Dialogue Systems with Next Utterance Classification.
Proceedings of the SIGDIAL 2016 Conference, 2016
Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Dynamic Poisson Factorization.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015
Deep Exponential Families.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Content-based recommendations with Poisson factorization.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Leveraging user libraries to bootstrap collaborative filtering.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013
Active Learning for Matching Problems.
Proceedings of the 29th International Conference on Machine Learning, 2012
A Framework for Optimizing Paper Matching.
Proceedings of the UAI 2011, 2011
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
Proceedings of the UAI 2008, 2008
Automated Hierarchy Discovery for Planning in Partially Observable Environments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006