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Deeksha Adil
Deeksha Adil
Junior Fellow, Institute for Theoretical Studies, ETH Zurich
Verified email at eth-its.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Iterative Refinement for p-norm Regression
D Adil, R Kyng, R Peng, S Sachdeva
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019
712019
Fast, provably convergent irls algorithm for p-norm linear regression
D Adil, R Peng, S Sachdeva
Advances in Neural Information Processing Systems 32, 2019
412019
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
322020
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
182021
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
172018
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
62021
Fast Algorithms for -Regression
D Adil, R Kyng, R Peng, S Sachdeva
arXiv preprint arXiv:2211.03963, 2022
2022
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, ...
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Articles 1–11