Dimitris Kalimeris

13 papers A* 6Journal 5Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
Separating Graph Generative Models via Degree Distributions.
KDD (2)
Daniel Alabi, Dimitris Kalimeris
2024 A* conf
Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization.
KDD
Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, Udi Weinsberg
2023 J jnl
Degree Distribution Identifiability of Stochastic Kronecker Graphs.
CoRR
Daniel Alabi, Dimitris Kalimeris
2021 A* conf
Preference Amplification in Recommender Systems.
KDD
Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg
2020 A* conf
CLARA: Confidence of Labels and Raters.
KDD
Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris
2020 J jnl
Improving Selfish Routing for Risk-Averse Players.
Theory Comput. Syst.
Dimitris Fotakis, Dimitris Kalimeris, Thanasis Lianeas
2020 J jnl
Robustness from Simple Classifiers.
CoRR
Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer
2019 A* conf
Robust Influence Maximization for Hyperparametric Models.
ICML
Dimitris Kalimeris, Gal Kaplun, Yaron Singer
2019 J jnl
Robust Influence Maximization for Hyperparametric Models.
CoRR
Dimitris Kalimeris, Gal Kaplun, Yaron Singer
2019 A* conf
SGD on Neural Networks Learns Functions of Increasing Complexity.
NeurIPS
Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
2019 J jnl
SGD on Neural Networks Learns Functions of Increasing Complexity.
CoRR
Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak
2018 A* conf
Learning Diffusion using Hyperparameters.
ICML
Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg
2015 — conf
Improving Selfish Routing for Risk-Averse Players.
WINE
Dimitris Fotakis, Dimitris Kalimeris, Thanasis Lianeas