Dimitris Kalimeris

According to our database, Dimitris Kalimeris authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization.

Ariel Evnine, Stratis Ioannidis, Dimitris Kalimeris, Shankar Kalyanaraman, Weiwei Li, Israel Nir, Wei Sun, Udi Weinsberg

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Degree Distribution Identifiability of Stochastic Kronecker Graphs.

Daniel Alabi, Dimitris Kalimeris

CoRR, 2023

2021

Preference Amplification in Recommender Systems.

Dimitris Kalimeris, Smriti Bhagat, Shankar Kalyanaraman, Udi Weinsberg

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Improving Selfish Routing for Risk-Averse Players.

Dimitris Fotakis, Dimitris Kalimeris, Thanasis Lianeas

Theory Comput. Syst., 2020

Robustness from Simple Classifiers.

Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer

CoRR, 2020

CLARA: Confidence of Labels and Raters.

Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

SGD on Neural Networks Learns Functions of Increasing Complexity.

Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman, Fred Zhang, Boaz Barak

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Robust Influence Maximization for Hyperparametric Models.

Dimitris Kalimeris, Gal Kaplun, Yaron Singer

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Learning Diffusion using Hyperparameters.

Dimitris Kalimeris, Yaron Singer, Karthik Subbian, Udi Weinsberg

Proceedings of the 35th International Conference on Machine Learning, 2018