3 papers
cs.LG2026
Efficient Learning of Truncated Boolean Product Distributions: Influence to the Rescue
Rohan Chauhan, Ioannis Panageas
Learning the natural parameters of discrete distributions from independent samples constrained to a subset is a foundational chal…
cs.LG2026
On the Computational Complexity of Performative Prediction
Ioannis Anagnostides, Rohan Chauhan, Ioannis Panageas +2
Performative prediction captures the phenomenon where deploying a predictive model shifts the underlying data distribution. While simple retraining dynamics are known to converge l…
cs.LG2025
Learning the Inverse Temperature of Ising Models under Hard Constraints using One Sample
Rohan Chauhan, Ioannis Panageas
We consider the problem of estimating inverse temperature parameter of an -dimensional truncated Ising model using a single sample. Given a graph with vertic…