| Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments | Jan 15, 2021 | Experimental DesignReinforcement Learning (RL) | —Unverified | 0 |
| Data-driven peakon and periodic peakon travelling wave solutions of some nonlinear dispersive equations via deep learning | Jan 12, 2021 | Experimental Design | —Unverified | 0 |
| From Tinkering to Engineering: Measurements in Tensorflow Playground | Jan 11, 2021 | Experimental Design | —Unverified | 0 |
| Maximizing Information Gain for the Characterization of Biomolecular Circuits | Jan 8, 2021 | Experimental DesignInformativeness | —Unverified | 0 |
| Just How Toxic is Data Poisoning? A Benchmark for Backdoor and Data Poisoning Attacks | Jan 1, 2021 | Data PoisoningExperimental Design | —Unverified | 0 |
| Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks | Jan 1, 2021 | Experimental DesignGeneral Classification | —Unverified | 0 |
| Learning Collision-free Latent Space for Bayesian Optimization | Jan 1, 2021 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
| Predicting the impact of dataset composition on model performance | Jan 1, 2021 | Experimental DesignMachine Translation | —Unverified | 0 |
| The wealth of nations and the health of populations: A quasi-experimental design of the impact of sovereign debt crises on child mortality | Dec 29, 2020 | Causal InferenceExperimental Design | —Unverified | 0 |
| Refined bounds for randomized experimental design | Dec 22, 2020 | Experimental Design | —Unverified | 0 |
