| On Optimal Interpolation In Linear Regression | Oct 21, 2021 | Learning Theoryregression | CodeCode Available | 0 |
| Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression | May 28, 2024 | Interpretable Machine LearningLearning Theory | CodeCode Available | 0 |
| Continuous vs. Discrete Optimization of Deep Neural Networks | Jul 14, 2021 | Computational EfficiencyDeep Learning | CodeCode Available | 0 |
| Robust Learning from Untrusted Sources | Jan 29, 2019 | Distributed OptimizationLearning Theory | CodeCode Available | 0 |
| Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference | Apr 7, 2021 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| Solving PDEs on Unknown Manifolds with Machine Learning | Jun 12, 2021 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 0 |
| SPADE: Sparsity-Guided Debugging for Deep Neural Networks | Oct 6, 2023 | Learning Theory | CodeCode Available | 0 |
| Efficient Training for Positive Unlabeled Learning | Aug 24, 2016 | Learning Theory | CodeCode Available | 0 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Robust Optimization using Machine Learning for Uncertainty Sets | Jul 4, 2014 | BIG-bench Machine LearningDecision Making | CodeCode Available | 0 |
| Homophily modulates double descent generalization in graph convolution networks | Dec 26, 2022 | Graph LearningLearning Theory | CodeCode Available | 0 |
| End-to-end guarantees for indirect data-driven control of bilinear systems with finite stochastic data | Sep 26, 2024 | Learning Theory | CodeCode Available | 0 |
| Modeling Non-Cooperative Dialogue: Theoretical and Empirical Insights | Jul 15, 2022 | Learning Theory | CodeCode Available | 0 |
| Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel | Feb 10, 2022 | Learning Theory | CodeCode Available | 0 |
| Stealing Machine Learning Models via Prediction APIs | Sep 9, 2016 | BIG-bench Machine LearningLearning Theory | CodeCode Available | 0 |
| On the Diminishing Returns of Width for Continual Learning | Mar 11, 2024 | Continual LearningLearning Theory | CodeCode Available | 0 |
| MODL: Multilearner Online Deep Learning | May 28, 2024 | Deep LearningLearning Theory | CodeCode Available | 0 |
| Proof-of-Learning is Currently More Broken Than You Think | Aug 6, 2022 | Learning Theory | CodeCode Available | 0 |
| Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features | Feb 12, 2024 | Learning Theory | CodeCode Available | 0 |
| Straggler-Resilient Personalized Federated Learning | Jun 5, 2022 | Federated LearningLearning Theory | CodeCode Available | 0 |
| Improved learning theory for kernel distribution regression with two-stage sampling | Aug 28, 2023 | Learning Theoryregression | CodeCode Available | 0 |
| Estimating the Local Learning Coefficient at Scale | Feb 6, 2024 | Learning Theory | CodeCode Available | 0 |
| Improving Energy Conserving Descent for Machine Learning: Theory and Practice | Jun 1, 2023 | Learning Theory | CodeCode Available | 0 |
| Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences | Mar 5, 2019 | DecoderImage Reconstruction | CodeCode Available | 0 |
| Sampling-based Nyström Approximation and Kernel Quadrature | Jan 23, 2023 | Learning Theory | CodeCode Available | 0 |