Representation and Regression Problems in Neural Networks: Relaxation, Generalization, and Numericsby Kang Liu, Enrique ZuazuaFirst…
Review of Mathematical Optimization in Federated Learningby Shusen Yang, Fangyuan Zhao, Zihao Zhou, Liang Shi,…
Causal Discovery by Interventions via Integer Programmingby Abdelmonem Elrefaey, Rong PanFirst submitted to arxiv on:…
CBOL-Tuner: Classifier-pruned Bayesian optimization to explore temporally structured latent spaces for particle accelerator tuningby Mahindra…
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learningby Lisha Chen, AFM Saif, Yanning Shen, Tianyi…
Practical Performative Policy Learning with Strategic Agentsby Qianyi Chen, Ying Chen, Bo LiFirst submitted to…
Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspectiveby Jinouwen Zhang, Rongkun Xue, Yazhe Niu,…
Towards Robust Interpretable Surrogates for Optimizationby Marc Goerigk, Michael Hartisch, Sebastian MertenFirst submitted to arxiv…
Adaptive Traffic Element-Based Streetlight Control Using Neighbor Discovery Algorithm Based on IoT Eventsby Yupeng Tan,…
Personalized Coupled Tensor Decomposition for Multimodal Data Fusion: Uniqueness and Algorithmsby Ricardo Augusto Borsoi, Konstantin…