| Sgd on neural networks learns functions of increasing complexity D Kalimeris, G Kaplun, P Nakkiran, B Edelman, T Yang, B Barak, H Zhang Advances in neural information processing systems 32, 2019 | 278* | 2019 |
| Preference amplification in recommender systems D Kalimeris, S Bhagat, S Kalyanaraman, U Weinsberg Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 48 | 2021 |
| Learning diffusion using hyperparameters D Kalimeris, Y Singer, K Subbian, U Weinsberg International Conference on Machine Learning, 2420-2428, 2018 | 30 | 2018 |
| Improving selfish routing for risk-averse players D Fotakis, D Kalimeris, T Lianeas International Conference on Web and Internet Economics, 328-342, 2015 | 22 | 2015 |
| Robust influence maximization for hyperparametric models D Kalimeris, G Kaplun, Y Singer International Conference on Machine Learning, 3192-3200, 2019 | 20 | 2019 |
| CLARA: confidence of labels and raters VA Nguyen, P Shi, J Ramakrishnan, U Weinsberg, HC Lin, S Metz, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 19 | 2020 |
| Robust neural networks are more interpretable for genomics PK Koo, S Qian, G Kaplun, V Volf, D Kalimeris bioRxiv, 657437, 2019 | 16* | 2019 |
| Robustness from simple classifiers S Qian, D Kalimeris, G Kaplun, Y Singer arXiv preprint arXiv:2002.09422, 2020 | 3 | 2020 |
| Achieving a Better Tradeoff in Multi-stage Recommender Systems through Personalization A Evnine, S Ioannidis, D Kalimeris, S Kalyanaraman, W Li, I Nir, W Sun, ... Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | | 2024 |
