ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learningby Hongshu Guo, Zeyuan Ma, Jiacheng…
Contractive Dynamical Imitation Policies for Efficient Out-of-Sample Recoveryby Amin Abyaneh, Mahrokh G. Boroujeni, Hsiu-Chin Lin,…
Epidemiological Model Calibration via Graybox Bayesian Optimizationby Puhua Niu, Byung-Jun Yoon, Xiaoning QianFirst submitted to…
Hierarchical Split Federated Learning: Convergence Analysis and System Optimizationby Zheng Lin, Wei Wei, Zhe Chen,…
Parseval Regularization for Continual Reinforcement Learningby Wesley Chung, Lynn Cherif, David Meger, Doina PrecupFirst submitted…
Optimization Can Learn Johnson Lindenstrauss Embeddingsby Nikos Tsikouras, Constantine Caramanis, Christos TzamosFirst submitted to arxiv…
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learningby Jacob Adkins, Michael Bowling, Adam WhiteFirst…
Monte Carlo Tree Search based Space Transfer for Black-box Optimizationby Shukuan Wang, Ke Xue, Lei…
Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systemsby Qian Yu, Zhen Xu,…
Tube Loss: A Novel Approach for Prediction Interval Estimation and probabilistic forecastingby Pritam Anand, Tathagata…