Laurent Charlin

According to our database1, Laurent Charlin authored at least 33 papers between 2006 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version.
D&D, 2018

The Deconfounded Recommender: A Causal Inference Approach to Recommendation.
CoRR, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
CoRR, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Training End-to-End Dialogue Systems with the Ubuntu Dialogue Corpus.
D&D, 2017

Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks.
CoRR, 2017

Learnable Explicit Density for Continuous Latent Space and Variational Inference.
CoRR, 2017

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

2016
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.
CoRR, 2016

Generative Deep Neural Networks for Dialogue: A Short Review.
CoRR, 2016

On the Evaluation of Dialogue Systems with Next Utterance Classification.
CoRR, 2016

How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.
CoRR, 2016

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

2015
A Survey of Available Corpora for Building Data-Driven Dialogue Systems.
CoRR, 2015

Modeling User Exposure in Recommendation.
CoRR, 2015

Dynamic Poisson Factorization.
CoRR, 2015

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

2014
Deep Exponential Families.
CoRR, 2014

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

2013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Active Learning for Matching Problems
CoRR, 2012

Hierarchical POMDP Controller Optimization by Likelihood Maximization
CoRR, 2012

A Framework for Optimizing Paper Matching
CoRR, 2012

Active Learning for Matching Problems.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
A Framework for Optimizing Paper Matching.
Proceedings of the UAI 2011, 2011

2008
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
Proceedings of the UAI 2008, 2008

2006
Automated Hierarchy Discovery for Planning in Partially Observable Environments.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006


  Loading...