2025
Weakly supervised label learning flows.
Neural Networks, 2025
2023
Weakly Supervised Label Learning Flows.
CoRR, 2023
2022
Data Consistency for Weakly Supervised Learning.
CoRR, 2022
Firebolt: Weak Supervision Under Weaker Assumptions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
A General Framework for Adversarial Label Learning.
J. Mach. Learn. Res., 2021
Constrained labeling for weakly supervised learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Personalized Regularization Learning for Fairer Matrix Factorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
2020
Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields.
IEEE Trans. Learn. Technol., 2020
Preconditions for guardianship interventions in cyberbullying: Incident interpretation, collective and automated efficacy, and relative popularity of bullies.
Comput. Hum. Behav., 2020
Attention-Based Graph Evolution.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Woodbury Transformations for Deep Generative Flows.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Structured Output Learning with Conditional Generative Flows.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Recurrent collective classification.
Knowl. Inf. Syst., 2019
Active Learning by Greedy Split and Label Exploration.
CoRR, 2019
Labeled Graph Generative Adversarial Networks.
CoRR, 2019
An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision.
CoRR, 2019
Deep Generative Models for Generating Labeled Graphs.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Reduced-Bias Co-trained Ensembles for Weakly Supervised Cyberbullying Detection.
Proceedings of the Computational Data and Social Networks - 8th International Conference, 2019
Block Belief Propagation for Parameter Learning in Markov Random Fields.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Adversarial Label Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Weakly supervised cyberbullying detection with participant-vocabulary consistency.
Soc. Netw. Anal. Min., 2018
Adversarial Labeling for Learning without Labels.
CoRR, 2018
International Workshop on Cybersafety Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Sparse-Matrix Belief Propagation.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Smart HVAC Systems - Adjustable Airflow Direction.
Proceedings of the Advanced Computing Strategies for Engineering, 2018
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic.
J. Mach. Learn. Res., 2017
New Fairness Metrics for Recommendation that Embrace Differences.
CoRR, 2017
Online Edge Grafting for Efficient MRF Structure Learning.
CoRR, 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Cyberbullying Detection with Weakly Supervised Machine Learning.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
Stability and Generalization in Structured Prediction.
J. Mach. Learn. Res., 2016
Cyberbullying Identification Using Participant-Vocabulary Consistency.
CoRR, 2016
Capturing Planned Protests from Open Source Indicators.
AI Mag., 2016
A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles.
Proceedings of the First International Workshop on Computational Methods for CyberSafety, 2016
2015
The Benefits of Learning with Strongly Convex Approximate Inference.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
Joint Models of Disagreement and Stance in Online Debate.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Planned Protest Modeling in News and Social Media.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Uncovering hidden engagement patterns for predicting learner performance in MOOCs.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
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Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Discovering evolving political vocabulary in social media.
Proceedings of the 2014 International Conference on Behavioral, 2014
Understanding MOOC Discussion Forums using Seeded LDA.
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014
PAC-Bayesian Collective Stability.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
Learning Latent Engagement Patterns of Students in Online Courses.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss
CoRR, 2013
Graph-based Generalization Bounds for Learning Binary Relations
CoRR, 2013
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
A Flexible Framework for Probabilistic Models of Social Trust.
Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2013
Collective Stability in Structured Prediction: Generalization from One Example.
Proceedings of the 30th International Conference on Machine Learning, 2013
Collective Activity Detection Using Hinge-loss Markov Random Fields.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
A hypergraph-partitioned vertex programming approach for large-scale consensus optimization.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
2012
Semantic Model Vectors for Complex Video Event Recognition.
IEEE Trans. Multim., 2012
Machine Learning for theNew York City Power Grid.
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Probabilistic Soft Logic for Trust Analysis in Social Networks.
Proceedings of the 2nd International Workshop on Statistical Relational AI (StaRAI-12), 2012
2011
Learning with Degree-Based Subgraph Estimation.
PhD thesis, 2011
Fast b-matching via Sufficient Selection Belief Propagation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Learning a Distance Metric from a Network.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Collaborative Filtering via Rating Concentration.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
IBM Research TRECVID-2010 Video Copy Detection and Multimedia Event Detection System.
Proceedings of the TRECVID 2010 workshop participants notebook papers, 2010
2009
Maximum Entropy Density Estimation with Incomplete Presence-Only Data.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Approximating the Permanent with Belief Propagation
CoRR, 2009
Discovering Characterization Rules from Rankings.
Proceedings of the International Conference on Machine Learning and Applications, 2009
Alive on Back-feed Culprit Identification via Machine Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2009
Exact Graph Structure Estimation with Degree Priors.
Proceedings of the International Conference on Machine Learning and Applications, 2009
2008
Vers des Machines à Vecteurs Support "Actionnables" : Une Approche Fondée sur le Classement.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008
2007
Loopy Belief Propagation for Bipartite Maximum Weight b-Matching.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007