Publications

(2024). Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space. The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
(2023). Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. Proceedings of the 40th International Conference on Machine Learning (ICML 2023).
(2022). Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022), oral presentation (top ~4.5% of all submissions).
(2022). Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). Proceedings of the Genetic and Evolutionary Computation Conference, Best Paper Award of the Genetic Algorithms (GA) track.
(2021). From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Transactions on Evolutionary Computation.
(2021). Evaluating medical aesthetics treatments through evolved age-estimation models. Proceedings of the Genetic and Evolutionary Computation Conference, Silver Award in the Human Competitive Results Competition at GECCO 2022.
(2020). Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. International Conference on Learning Representations (ICLR 2020).
(2020). Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. AI Magazine.
(2020). Effective reinforcement learning through evolutionary surrogate-assisted prescription. Proceedings of the 2020 Genetic and Evolutionary Computation Conference, Best Paper Award of the General Evolutionary Computation and Hybrids (GECH) track.
(2019). Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. Proceedings of the AAAI Conference on Artificial Intelligence.