| Constrained labeling for weakly supervised learning. | 0 | 0.34 | 2021 |
| A General Framework For Adversarial Label Learning | 0 | 0.34 | 2021 |
| Personalized Regularization Learning for Fairer Matrix Factorization | 0 | 0.34 | 2021 |
| Interpretable Engagement Models for MOOCs Using Hinge-Loss Markov Random Fields. | 0 | 0.34 | 2020 |
| Preconditions for guardianship interventions in cyberbullying: Incident interpretation, collective and automated efficacy, and relative popularity of bullies | 0 | 0.34 | 2020 |
| Woodbury Transformations for Deep Generative Flows | 0 | 0.34 | 2020 |
| Structured Output Learning With Conditional Generative Flows | 1 | 0.36 | 2019 |
| Labeled Graph Generative Adversarial Networks. | 0 | 0.34 | 2019 |
| Recurrent Collective Classification. | 0 | 0.34 | 2019 |
| Active Learning by Greedy Split and Label Exploration. | 0 | 0.34 | 2019 |
| An Adaptable Framework for Deep Adversarial Label Learning from Weak Supervision. | 0 | 0.34 | 2019 |
| Adversarial Label Learning | 0 | 0.34 | 2019 |
| Deep Generative Models for Generating Labeled Graphs. | 0 | 0.34 | 2019 |
| Reduced-Bias Co-Trained Ensembles For Weakly Supervised Cyberbullying Detection | 1 | 0.35 | 2019 |
| Block Belief Propagation for Parameter Learning in Markov Random Fields | 0 | 0.34 | 2018 |
| Sparse-Matrix Belief Propagation | 0 | 0.34 | 2018 |
| Weakly supervised cyberbullying detection with participant-vocabulary consistency. | 0 | 0.34 | 2018 |
| Weakly Supervised Cyberbullying Detection Using Co-Trained Ensembles of Embedding Models. | 0 | 0.34 | 2018 |
| International Workshop on Cybersafety Chairs' Welcome & Organization. | 0 | 0.34 | 2018 |
| Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields | 0 | 0.34 | 2018 |
| Smart HVAC Systems - Adjustable Airflow Direction. | 0 | 0.34 | 2018 |
| Adversarial Labeling for Learning without Labels. | 0 | 0.34 | 2018 |
| Online Edge Grafting for Efficient MRF Structure Learning. | 0 | 0.34 | 2017 |
| New Fairness Metrics for Recommendation that Embrace Differences. | 1 | 0.34 | 2017 |
| Beyond Parity: Fairness Objectives for Collaborative Filtering. | 15 | 0.62 | 2017 |
| Cyberbullying Detection with Weakly Supervised Machine Learning. | 10 | 0.57 | 2017 |
| A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles. | 0 | 0.34 | 2016 |
| Capturing Planned Protests from Open Source Indicators. | 0 | 0.34 | 2016 |
| Stability and Generalization in Structured Prediction. | 1 | 0.35 | 2016 |
| Cyberbullying Identification Using Participant-Vocabulary Consistency. | 4 | 0.44 | 2016 |
| Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding Guarantees. | 5 | 0.43 | 2015 |
| Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs | 3 | 0.41 | 2015 |
| The Benefits of Learning with Strongly Convex Approximate Inference | 1 | 0.36 | 2015 |
| Planned Protest Modeling In News And Social Media | 18 | 0.74 | 2015 |
| Joint Models Of Disagreement And Stance In Online Debate | 23 | 0.93 | 2015 |
| Hinge-Loss Markov Random Fields and Probabilistic Soft Logic | 40 | 1.46 | 2015 |
| Understanding MOOC Discussion Forums using Seeded LDA | 22 | 1.36 | 2014 |
| Understanding MOOC Discussion Forums using Seeded LDA. | 0 | 0.34 | 2014 |
| Discovering evolving political vocabulary in social media | 5 | 0.45 | 2014 |
| 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators | 68 | 2.21 | 2014 |
| Network-Based Drug-Target Interaction Prediction with Probabilistic Soft Logic | 24 | 0.80 | 2014 |
| PAC-Bayesian Collective Stability. | 5 | 0.47 | 2014 |
| Uncovering hidden engagement patterns for predicting learner performance in MOOCs. | 3 | 0.44 | 2014 |
| A flexible framework for probabilistic models of social trust | 21 | 0.84 | 2013 |
| Collective Activity Detection Using Hinge-loss Markov Random Fields | 6 | 0.42 | 2013 |
| Collective Stability in Structured Prediction: Generalization from One Example. | 16 | 0.77 | 2013 |
| Graph-based Generalization Bounds for Learning Binary Relations | 0 | 0.34 | 2013 |
| Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss | 10 | 0.77 | 2013 |
| Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction. | 31 | 1.73 | 2013 |
| A hypergraph-partitioned vertex programming approach for large-scale consensus optimization | 6 | 0.47 | 2013 |
