Javier González

Batch Bayesian Optimization via Local Penalization

2015 · arXiv (Cornell University)

The popularity of Bayesian optimization methods for efficient exploration of parameter spaces has lead to a series of papers applying Gaussian processes as surrogates in the optimization of functions. However, most proposed approaches only allow …

Structure Mapping for Transferability of Causal Models

2020 · arXiv (Cornell University)

Human beings learn causal models and constantly use them to transfer knowledge between similar environments. We use this intuition to design a transfer-learning framework using object-oriented representations to learn the causal relationships between objects. A …

Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

2024 · arXiv (Cornell University)

Recent advances in AI have been significantly driven by the capabilities of large language models (LLMs) to solve complex problems in ways that resemble human thinking. However, there is an ongoing debate about the extent …