Node Max-Cut and Computing Equilibria in Linear Weighted Congestion Games. - Dimitris Fotakis 001; Anthimos Vardis Kandiros; Thanasis Lianeas; Nikos Mouzakis; Panagiotis Patsilinakos; Stratis Skoulakis (CoRR, 2019)

Node-Max-Cut and the Complexity of Equilibrium in Linear Weighted Congestion Games. - Dimitris Fotakis 001; Anthimos Vardis Kandiros; Thanasis Lianeas; Nikos Mouzakis; Panagiotis Patsilinakos; Stratis Skoulakis (ICALP, 2020)

Estimating Ising Models from One Sample. - Yuval Dagan; Constantinos Daskalakis; Nishanth Dikkala; Anthimos Vardis Kandiros (CoRR, 2020)

Statistical Estimation from Dependent Data. - Anthimos Vardis Kandiros; Yuval Dagan; Nishanth Dikkala; Surbhi Goel; Constantinos Daskalakis (ICML, 2021)

Learning Ising models from one or multiple samples. - Yuval Dagan; Constantinos Daskalakis; Nishanth Dikkala; Anthimos Vardis Kandiros (STOC, 2021)

EM's Convergence in Gaussian Latent Tree Models. - Yuval Dagan; Anthimos Vardis Kandiros; Constantinos Daskalakis (COLT, 2022)

Learning and Testing Latent-Tree Ising Models Efficiently. - Anthimos Vardis Kandiros; Constantinos Daskalakis; Yuval Dagan; Davin Choo (COLT, 2023)

Opinion Dynamics with Limited Information. - Dimitris Fotakis 001; Anthimos Vardis Kandiros; Vasilis Kontonis; Stratis Skoulakis (Algorithmica, 2023)

On Sampling from Ising Models with Spectral Constraints. - Andreas Galanis; Alkis Kalavasis; Anthimos Vardis Kandiros (APPROX/RANDOM, 2024)

Learning Hard-Constrained Models with One Sample. - Andreas Galanis; Alkis Kalavasis; Anthimos Vardis Kandiros (SODA, 2024)

The Conflict Graph Design: Estimating Causal Effects under Arbitrary Neighborhood Interference. - Anthimos Vardis Kandiros; Charilaos Pipis; Constantinos Daskalakis; Christopher Harshaw (CoRR, 2024)