1 citations · 1 across the 3 of their papers we have counts for
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★ 1 cited
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…