ALT 2021
| ALT 2021 | |
|---|---|
32nd International Conference on Algorithmic Learning Theory
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| Ordinal | 32 |
| Type | Conference |
| Field: | Machine learning |
| Event in series | ALT |
| Dates | 2021/03/16 (iCal) - 2021/03/19 |
| Location | |
| Location: | Paris,France |
| Bibliographic and retrospective information | |
| Submitted | Submitted 157 |
| Accepted | Accepted 46 |
| Acceptance rate | Acceptance rate 29.3% |
| Table of Contents | |
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Topics* Design and analysis of learning algorithms. * Statistical and computational learning theory. * Online learning algorithms and theory. * Optimization methods for learning. * Unsupervised, semi-supervised and active learning. * Interactive learning, planning and control, and reinforcement learning. * Privacy-preserving data analysis. * Learning with additional societal considerations: e.g., fairness, economics. * Robustness of learning algorithms to adversarial agents. * Artificial neural networks, including deep learning. * High-dimensional and non-parametric statistics. * Adaptive data analysis and selective inference. * Learning with algebraic or combinatorial structure. * Bayesian methods in learning. * Learning in distributed and streaming settings. * Game theory and learning. * Learning from complex data: e.g., networks, time series. * Theoretical analysis of probabilistic graphical models. * |
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