AI agents AI automation AI for code AI for science algorithmic causality algorithmic stability alignment attention mechanisms automated reasoning autonomous vehicles bandits bias black box models causal discovery causal inference combinatorial optimization computer vision confidence estimation control theory curse of dimensionality deep learning distributed systems dueling bandits electronic design automation Eluder dimension embodied AI fairness federated learning foundation models FPGA geometric mechanics graph learning hallucinations heterogeneity human learning in-context learning information geometry integrated circuits intelligent systems Internet of Things inverse problems knowledge graph reasoning learning methodologies learning theory Linear Quadratic Gaussian control lottery ticket hypothesis machine learning machine learning architectures MCMC methods mixture models multi-task learning natural language processing natural science neural networks neuroscience nonconvex optimization nonparametric learning NP hardness open source datasets optimistic algorithms perturbation geometry physical design flow physics-based modeling policy optimization preference learning pretrained LMs real-time data reinforcement learning robustness self-supervised learning semiconductors single-task learning Skillearn software engineering sparse token learning sparsity supervised learning synthetic tasks transformers unsupervised learning variational inference verification vision-language models vision models