Integrating Locally Learned Causal Structures with Overlapping Variables. - Robert E. Tillman; David Danks; Clark Glymour (NIPS, 2008)

Structure learning with independent non-identically distributed data. - Robert E. Tillman (ICML, 2009)

Nonlinear directed acyclic structure learning with weakly additive noise models. - Robert E. Tillman; Arthur Gretton; Peter Spirtes (NIPS, 2009)

When causality matters for prediction. - Robert E. Tillman; Peter Spirtes (NIPS Causality: Objectives and Assessment, 2010)

Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. - Robert E. Tillman; Peter Spirtes (AISTATS, 2011)

Heuristics for Link Prediction in Multiplex Networks. - Robert E. Tillman; Vamsi K. Potluru; Jiahao Chen 001; Prashant P. Reddy; Manuela Veloso (ECAI, 2020)

Generating synthetic data in finance: opportunities, challenges and pitfalls. - Samuel A. Assefa; Danial Dervovic; Mahmoud Mahfouz; Robert E. Tillman; Prashant Reddy; Manuela Veloso (ICAIF, 2020)

Recommending missing and suspicious links in multiplex financial networks. - Robert E. Tillman; Prashant P. Reddy; Manuela Veloso (ICAIF, 2020)

Latent Bayesian Inference for Robust Earnings Estimates. - Chirag Nagpal; Robert E. Tillman; Prashant P. Reddy; Manuela Veloso (CoRR, 2020)

Generative Models with Information-Theoretic Protection Against Membership Inference Attacks. - Parisa Hassanzadeh; Robert E. Tillman (CoRR, 2022)

Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms. - Penghang Liu; Rupam Acharyya; Robert E. Tillman; Shunya Kimura; Naoki Masuda; Ahmet Erdem Sariyüce (CoRR, 2023)

Privacy-Preserving Energy-Based Generative Models for Marginal Distribution Protection. - Robert E. Tillman; Tucker Balch; Manuela Veloso (Trans. Mach. Learn. Res., 2023)

Guided Discrete Diffusion for Electronic Health Record Generation. - Jun Han; Zixiang Chen; Yongqian Li; Yiwen Kou; Eran Halperin; Robert E. Tillman; Quanquan Gu (Trans. Mach. Learn. Res., 2025)

OrdShap: Feature Position Importance for Sequential Black-Box Models. - Davin Hill; Brian L. Hill; Aria Masoomi; Vijay S. Nori; Robert E. Tillman; Jennifer G. Dy (CoRR, 2025)