Arun Jambulapati

According to our database1, Arun Jambulapati authored at least 34 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Black-Box k-to-1-PCA Reductions: Theory and Applications.
CoRR, 2024

Linear-Sized Sparsifiers via Near-Linear Time Discrepancy Theory.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

A Whole New Ball Game: A Primal Accelerated Method for Matrix Games and Minimizing the Maximum of Smooth Functions.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023
Sparsifying generalized linear models.
CoRR, 2023

Testing Causality for High Dimensional Data.
CoRR, 2023

Chaining, Group Leverage Score Overestimates, and Fast Spectral Hypergraph Sparsification.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structured Semidefinite Programming for Recovering Structured Preconditioners.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sparsifying Sums of Norms.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

ReSQueing Parallel and Private Stochastic Convex Optimization.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2022
A Slightly Improved Bound for the KLS Constant.
CoRR, 2022

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

Improved iteration complexities for overconstrained <i>p</i>-norm regression.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Faster maxflow via improved dynamic spectral vertex sparsifiers.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Semi-Streaming Bipartite Matching in Fewer Passes and Optimal Space.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Optimal and Adaptive Monteiro-Svaiter Acceleration.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RECAPP: Crafting a More Efficient Catalyst for Convex Optimization.
Proceedings of the International Conference on Machine Learning, 2022

Regularized Box-Simplex Games and Dynamic Decremental Bipartite Matching.
Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022

2021
Improved Iteration Complexities for Overconstrained p-Norm Regression.
CoRR, 2021

Ultrasparse Ultrasparsifiers and Faster Laplacian System Solvers.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Robust Regression Revisited: Acceleration and Improved Estimation Rates.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stochastic Bias-Reduced Gradient Methods.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss.
Proceedings of the Conference on Learning Theory, 2021

2020
Positive semidefinite programming: mixed, parallel, and width-independent.
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Acceleration with a Ball Optimization Oracle.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
A Direct Õ(1/ε) Iteration Parallel Algorithm for Optimal Transport.
CoRR, 2019

Perron-Frobenius Theory in Nearly Linear Time: Positive Eigenvectors, M-matrices, Graph Kernels, and Other Applications.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Parallel Reachability in Almost Linear Work and Square Root Depth.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

2018
Efficient Structured Matrix Recovery and Nearly-Linear Time Algorithms for Solving Inverse Symmetric M-Matrices.
CoRR, 2018

Towards Optimal Running Times for Optimal Transport.
CoRR, 2018

Efficient <i>Õ</i>(<i>n</i>/<i>∊</i>) Spectral Sketches for the Laplacian and its Pseudoinverse.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

2017
Efficient Õ(n/ε) Spectral Sketches for the Laplacian and its Pseudoinverse.
CoRR, 2017


  Loading...