Elena Zheleva
@elenadata.bsky.social
CS Prof @ University of Illinois Chicago. Research in causal inference, machine learning, graph mining, privacy.
www.cs.uic.edu/~elena
www.cs.uic.edu/~elena
It’s a treat going from SDM 2025 to CLeaR 2025 and seeing two excellent keynotes at the intersection of social systems and #causal modeling. @jugander.bsky.social on interrupting misinformation with community notes and @bleilab.bsky.social on hierarchical causal models.
May 7, 2025 at 9:23 AM
It’s a treat going from SDM 2025 to CLeaR 2025 and seeing two excellent keynotes at the intersection of social systems and #causal modeling. @jugander.bsky.social on interrupting misinformation with community notes and @bleilab.bsky.social on hierarchical causal models.
If you are at #aaai2025, come by our poster on “Learning Exposure Mapping Functions for Peer Effect Estimation” at the AAAI Workshop on AI with Causal Techniques, presented by my PhD student Shishir Adhikari, to learn how we automatically account for different counterfactual ego network structures.
March 4, 2025 at 4:40 PM
If you are at #aaai2025, come by our poster on “Learning Exposure Mapping Functions for Peer Effect Estimation” at the AAAI Workshop on AI with Causal Techniques, presented by my PhD student Shishir Adhikari, to learn how we automatically account for different counterfactual ego network structures.
@rebeccasaxe.bsky.social giving an informative and thought-provoking talk on theory of mind at the #aaai2025 workshop on Advancing Artificial Intelligence through Theory of Mind (ToM4AI).
March 3, 2025 at 3:02 PM
@rebeccasaxe.bsky.social giving an informative and thought-provoking talk on theory of mind at the #aaai2025 workshop on Advancing Artificial Intelligence through Theory of Mind (ToM4AI).
Unleashing the Power of Randomization in Auditing Differentially Private ML” by
Krishna Pillutla making connections to graphs and distributional robustness at GraPFiCs workshop at UCSC’s Seymour Center.
Krishna Pillutla making connections to graphs and distributional robustness at GraPFiCs workshop at UCSC’s Seymour Center.
October 20, 2023 at 5:10 PM
Unleashing the Power of Randomization in Auditing Differentially Private ML” by
Krishna Pillutla making connections to graphs and distributional robustness at GraPFiCs workshop at UCSC’s Seymour Center.
Krishna Pillutla making connections to graphs and distributional robustness at GraPFiCs workshop at UCSC’s Seymour Center.
Day 2 of the GraPFiCs workshop starting w/ Kristen Altenburger‘s talk on Graphs for Product Innovation: Explanation vs. Prediction Problems tying nicely causality, fairness, privacy and graphs along the explanation vs. prediction spectrum of modeling.
sites.google.com/view/grapfic...
sites.google.com/view/grapfic...
October 20, 2023 at 4:40 PM
Day 2 of the GraPFiCs workshop starting w/ Kristen Altenburger‘s talk on Graphs for Product Innovation: Explanation vs. Prediction Problems tying nicely causality, fairness, privacy and graphs along the explanation vs. prediction spectrum of modeling.
sites.google.com/view/grapfic...
sites.google.com/view/grapfic...
An exciting lineup of speakers at the workshop on Foundations of Fairness, Privacy and Causality in Graphs!
sites.google.com/view/grapfic...
sites.google.com/view/grapfic...
October 18, 2023 at 9:57 PM
An exciting lineup of speakers at the workshop on Foundations of Fairness, Privacy and Causality in Graphs!
sites.google.com/view/grapfic...
sites.google.com/view/grapfic...