Regol, Florence

11 publications

NeurIPS 2025 Is the Acquisition Worth the Cost? Surrogate Losses for Consistent Two-Stage Classifiers Florence Regol, Joseph Cotnareanu, Theodore Glavas, Mark Coates

ICML 2025 When to Retrain a Machine Learning Model Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich

DMLR 2024 Benchmarking Edge Regression on Temporal Networks Muberra Ozmen, Florence Regol, Thomas Markovich

AISTATS 2024 Categorical Generative Model Evaluation via Synthetic Distribution Coarsening Florence Regol, Mark Coates

ICML 2024 Interacting Diffusion Processes for Event Sequence Forecasting Mai Zeng, Florence Regol, Mark Coates

ICLR 2024 Jointly-Learned Exit and Inference for a Dynamic Neural Network Florence Regol, Joud Chataoui, Mark Coates

AAAI 2023 Diffusing Gaussian Mixtures for Generating Categorical Data Florence Regol, Mark Coates

AAAI 2022 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

AISTATS 2021 Detection and Defense of Topological Adversarial Attacks on Graphs Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates

ICML 2020 Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates

UAI 2020 Non Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates