Deeksha Adil

According to our database1, Deeksha Adil authored at least 11 papers between 2018 and 2024.

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Bibliography

2024
Decremental (1+ε)-Approximate Maximum Eigenvector: Dynamic Power Method.
CoRR, 2024

2022
Fast Algorithms for 𝓁<sub>p</sub>-Regression.
CoRR, 2022

Optimal Methods for Higher-Order Smooth Monotone Variational Inequalities.
CoRR, 2022

2021
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Almost-Linear-Time Weighted 𝓁<sub>p</sub>-Norm Solvers in Slightly Dense Graphs via Sparsification.
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

2020
Faster <i>p</i>-norm minimizing flows, via smoothed <i>q</i>-norm problems.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

2019
Faster p-norm minimizing flows, via smoothed q-norm problems.
CoRR, 2019

Iterative Refinement for 𝓁<sub>p</sub>-norm Regression.
CoRR, 2019

Iterative Refinement for ℓp-norm Regression.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Parameterized algorithms for stable matching with ties and incomplete lists.
Theor. Comput. Sci., 2018


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