| Lagrangian Decomposition for Neural Network Verification | Feb 24, 2020 | GPUvalid | CodeCode Available | 0 |
| DRIP: Deep Regularizers for Inverse Problems | Mar 30, 2023 | DeblurringImage Deblurring | CodeCode Available | 0 |
| Langevin Autoencoders for Learning Deep Latent Variable Models | Sep 15, 2022 | Image Generationvalid | CodeCode Available | 0 |
| On the Practicality of Deterministic Epistemic Uncertainty | Jul 1, 2021 | Image ClassificationOut of Distribution (OOD) Detection | CodeCode Available | 0 |
| Solving the "false positives" problem in fraud prediction | Oct 20, 2017 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 |
| Bandits with Preference Feedback: A Stackelberg Game Perspective | Jun 24, 2024 | valid | CodeCode Available | 0 |
| Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects | Apr 29, 2025 | Representation LearningSelection bias | CodeCode Available | 0 |
| Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding | Dec 21, 2021 | Causal InferenceSensitivity | CodeCode Available | 0 |
| Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese | May 2, 2020 | valid | CodeCode Available | 0 |
| Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences | Sep 10, 2024 | Contrastive Learningvalid | CodeCode Available | 0 |
