| Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees | Jun 8, 2020 | Learning Theory | —Unverified | 0 |
| Unique properties of adversarially trained linear classifiers on Gaussian data | Jun 6, 2020 | BIG-bench Machine LearningBinary Classification | —Unverified | 0 |
| Hierarchical robust aggregation of sales forecasts at aggregated levels in e-commerce, based on exponential smoothing and Holt's linear trend method | Jun 5, 2020 | Learning Theory | —Unverified | 0 |
| Adaptive Feedforward Neural Network Control with an Optimized Hidden Node Distribution | May 23, 2020 | Learning Theory | CodeCode Available | 1 |
| On Learnability under General Stochastic Processes | May 15, 2020 | Binary ClassificationLearning Theory | —Unverified | 0 |
| Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs | Apr 29, 2020 | Learning TheoryMemorization | CodeCode Available | 0 |
| Learning Theory for Estimation of Animal Motion Submanifolds | Mar 30, 2020 | Learning Theory | —Unverified | 0 |
| Distributed Kernel Ridge Regression with Communications | Mar 27, 2020 | Learning Theoryregression | —Unverified | 0 |
| Design-unbiased statistical learning in survey sampling | Mar 25, 2020 | BIG-bench Machine LearningLearning Theory | —Unverified | 0 |
| Theoretical Analysis of Divide-and-Conquer ERM: Beyond Square Loss and RKHS | Mar 9, 2020 | Learning Theory | —Unverified | 0 |
