Robert E. Tillman

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 7

Top Topics

Factor Graph Model

Generative Model

Heterogeneous Information Networks

Link Prediction

Top Venues

Publications

Penghang Liu, Rupam Acharyya, Robert E. Tillman, Shunya Kimura, Naoki Masuda, Ahmet Erdem Sariyüce
Temporal Motifs for Financial Networks: A Study on Mercari, JPMC, and Venmo Platforms. CoRR (2023)
Parisa Hassanzadeh, Robert E. Tillman
Generative Models with Information-Theoretic Protection Against Membership Inference Attacks. CoRR (2022)
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso
Heuristics for Link Prediction in Multiplex Networks. ECAI (2020)
Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
Latent Bayesian Inference for Robust Earnings Estimates. CoRR (2020)
Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso
Heuristics for Link Prediction in Multiplex Networks. CoRR (2020)
Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
Recommending missing and suspicious links in multiplex financial networks. ICAIF (2020)
Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso
Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF (2020)
Robert E. Tillman, Peter Spirtes
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables. AISTATS (2011)
Robert E. Tillman, Peter Spirtes
When causality matters for prediction. NIPS Causality: Objectives and Assessment (2010)
Robert E. Tillman
Structure learning with independent non-identically distributed data. ICML (2009)
Robert E. Tillman, Arthur Gretton, Peter Spirtes
Nonlinear directed acyclic structure learning with weakly additive noise models. NIPS (2009)
Robert E. Tillman, David Danks, Clark Glymour
Integrating Locally Learned Causal Structures with Overlapping Variables. NIPS (2008)