| Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases | Sep 6, 2021 | Learning TheorySelection bias | —Unverified | 0 | 0 |
| Weak Robust Compatibility Between Learning Algorithms and Counterfactual Explanation Generation Algorithms | May 31, 2024 | counterfactualCounterfactual Explanation | —Unverified | 0 | 0 |
| What can ecosystems learn? Expanding evolutionary ecology with learning theory | Jun 21, 2015 | Learning TheoryOpen-Ended Question Answering | —Unverified | 0 | 0 |
| What can we Learn by Predicting Accuracy? | Aug 2, 2022 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness | Jun 4, 2025 | Causal InferenceLearning Theory | —Unverified | 0 | 0 |
| When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation | Aug 14, 2023 | DecoderDeep Learning | —Unverified | 0 | 0 |
| When is there a Representer Theorem? Reflexive Banach spaces | Sep 26, 2018 | Learning Theory | —Unverified | 0 | 0 |
| Why is AI hard and Physics simple? | Mar 31, 2021 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization | Mar 2, 2016 | Distributed OptimizationLearning Theory | —Unverified | 0 | 0 |
| Without-Replacement Sampling for Stochastic Gradient Methods | Dec 1, 2016 | Distributed OptimizationLearning Theory | —Unverified | 0 | 0 |
| 10 Years of Fair Representations: Challenges and Opportunities | Jul 4, 2024 | Aspect Sentiment Triplet ExtractionAutoML | —Unverified | 0 | 0 |
| Yes We Care! -- Certification for Machine Learning Methods through the Care Label Framework | May 21, 2021 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| Graph-based Discriminators: Sample Complexity and Expressiveness | Jun 1, 2019 | Learning Theory | —Unverified | 0 | 0 |
| 1-bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation | Apr 14, 2016 | Collaborative FilteringLearning Theory | —Unverified | 0 | 0 |
| 2 Notes on Classes with Vapnik-Chervonenkis Dimension 1 | Jul 19, 2015 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 | 0 |
| A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms | Sep 3, 2021 | Learning TheoryTransfer Learning | —Unverified | 0 | 0 |
| A Bennett Inequality for the Missing Mass | Mar 20, 2015 | Learning Theory | —Unverified | 0 | 0 |
| A call for embodied AI | Feb 6, 2024 | Learning TheoryPhilosophy | —Unverified | 0 | 0 |
| Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling | Jul 24, 2021 | Autonomous DrivingLearning Theory | —Unverified | 0 | 0 |
| A Characterization of List Learnability | Nov 7, 2022 | Learning TheoryPAC learning | —Unverified | 0 | 0 |
| A Characterization of Multiclass Learnability | Mar 3, 2022 | Learning TheoryOpen-Ended Question Answering | —Unverified | 0 | 0 |
| A Closer Look at the Learnability of Out-of-Distribution (OOD) Detection | Jan 15, 2025 | Learning TheoryOut of Distribution (OOD) Detection | —Unverified | 0 | 0 |
| A cognitively driven weighted-entropy model for embedding semantic categories in hyperbolic geometry | Dec 13, 2021 | Language AcquisitionLearning Theory | —Unverified | 0 | 0 |
| A Combinatorial Characterization of Supervised Online Learnability | Jul 7, 2023 | Learning Theoryregression | —Unverified | 0 | 0 |
| A Contextual Online Learning Theory of Brokerage | May 22, 2024 | Learning Theory | —Unverified | 0 | 0 |