Deeksha Adil

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Locally Weighted

Classification And Regression Problems

Top Venues

Publications

Deeksha Adil, Thatchaphol Saranurak
Decremental (1+ε)-Approximate Maximum Eigenvector: Dynamic Power Method. CoRR (2024)
Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva
-Regression. CoRR (2022)
Deeksha Adil, Brian Bullins, Arun Jambulapati, Sushant Sachdeva
Optimal Methods for Higher-Order Smooth Monotone Variational Inequalities. CoRR (2022)
Deeksha Adil, Brian Bullins, Sushant Sachdeva
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization. CoRR (2021)
Deeksha Adil, Brian Bullins, Rasmus Kyng, Sushant Sachdeva
-norm Solvers in Slightly Dense Graphs via Sparsification. CoRR (2021)
Deeksha Adil, Brian Bullins, Sushant Sachdeva
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization. NeurIPS (2021)
Deeksha Adil, Brian Bullins, Rasmus Kyng, Sushant Sachdeva
-Norm Solvers in Slightly Dense Graphs via Sparsification. ICALP (2021)
Deeksha Adil, Sushant Sachdeva
-norm problems. SODA (2020)
Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva
Iterative Refinement for ℓp-norm Regression. SODA (2019)
Deeksha Adil, Richard Peng, Sushant Sachdeva
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression. NeurIPS (2019)
Deeksha Adil, Richard Peng, Sushant Sachdeva
Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression. CoRR (2019)
Deeksha Adil, Sushant Sachdeva
Faster p-norm minimizing flows, via smoothed q-norm problems. CoRR (2019)
Deeksha Adil, Rasmus Kyng, Richard Peng, Sushant Sachdeva
-norm Regression. CoRR (2019)
Deeksha Adil, Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi
Parameterized algorithms for stable matching with ties and incomplete lists. Theor. Comput. Sci. 723 (2018)