Iterative Refinement for ℓp -norm Regression D Adil, R Kyng, R Peng, S Sachdeva
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
71 2019 Fast, provably convergent IRLS algorithm for p-norm linear regression D Adil, R Peng, S Sachdeva
Advances in Neural Information Processing Systems 32, 2019
40 2019 Faster p -norm minimizing flows, via smoothed q -norm problems D Adil, S Sachdeva
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
31 2020 Parameterized algorithms for stable matching with ties and incomplete lists D Adil, S Gupta, S Roy, S Saurabh, M Zehavi
Theoretical Computer Science 723, 1-10, 2018
19 2018 Almost-linear-time Weighted -norm Solvers in Slightly Dense Graphs via Sparsification D Adil, B Bullins, R Kyng, S Sachdeva
arXiv preprint arXiv:2102.06977, 2021
17 2021 Optimal methods for higher-order smooth monotone variational inequalities D Adil, B Bullins, A Jambulapati, S Sachdeva
arXiv preprint arXiv:2205.06167, 2022
15 2022 Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization D Adil, B Bullins, S Sachdeva
Advances in Neural Information Processing Systems 34, 19122-19133, 2021
6 2021 Fast Algorithms for -Regression D Adil, R Kyng, R Peng, S Sachdeva
arXiv preprint arXiv:2211.03963, 2022
1 2022 Decremental -Approximate Maximum Eigenvector: Dynamic Power Method D Adil, T Saranurak
arXiv preprint arXiv:2402.17929, 2024
2024 Fast Algorithms for ℓp -Regression and Other Problems D Adil
University of Toronto (Canada), 2022
2022 Matching Under Preferences D Adil
2017 publications & manuscripts Y Hua, R Kyng, M Probst, Z Wu, L Chen, S Sachdeva, Y Liu, R Peng, ...