Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems. - Carlos Miguel Patiño; Camilo Velásquez; Juan Manuel Muñoz; Juan Manuel Gutiérrez; David Ricardo Valencia; Cristian Bartolome Aramburu (RecSys Challenge, 2020)

Statistical Inference Under Constrained Selection Bias. - Santiago Cortes-Gomez; Mateo Dulce Rubio; Carlos Miguel Patiño; Bryan Wilder (ICML, 2024)

Decision-Focused Uncertainty Quantification. - Santiago Cortes-Gomez; Carlos Miguel Patiño; Yewon Byun; Steven Wu 001; Eric Horvitz; Bryan Wilder (CoRR, 2024)

Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification. - Santiago Cortes-Gomez; Carlos Miguel Patiño; Yewon Byun; Steven Wu 001; Eric Horvitz; Bryan Wilder (ICLR, 2025)

Reproducibility Study of "Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation". - Jose L. Garcia; Karolina Hajkova; Maria Marchenko; Carlos Miguel Patiño (Trans. Mach. Learn. Res., 2025)

Natively Trainable Sparse Attention for Hierarchical Point Cloud Datasets. - Nicolas Lapautre; Maria Marchenko; Carlos Miguel Patiño; Xin Zhou (CoRR, 2025)