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2. Abstractions for Probabilistic Programming to Support Model Development
3. A Computational Perspective of Causal Inference and the Data Fusion Problem
4. A Family of Latent Variable Convex Relaxations for IBM Model 2
5. AI and the Writer: How Language Models Support Creative Writers
6. Autogenerative Networks
7. Beyond Worst-Case Analysis of Optimization in the Era of Machine Learning
8. Cross-Lingual Transfer of Natural Language Processing Systems
9. Data-Driven Solutions to Bottlenecks in Natural Language Generation
10. Deep Self-Modeling for Robotic Systems
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