Ali Vakilian

According to our database1, Ali Vakilian authored at least 44 papers between 2012 and 2024.

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Bibliography

2024
Scalable Algorithms for Individual Preference Stable Clustering.
CoRR, 2024

Learning-Based Algorithms for Graph Searching Problems.
CoRR, 2024

Streaming Algorithms for Connectivity Augmentation.
CoRR, 2024

Bayesian Strategic Classification.
CoRR, 2024

2023
Approximating Red-Blue Set Cover.
CoRR, 2023

Tight Bounds for Volumetric Spanners and Applications.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Frequency Estimation Algorithms with and without Predictions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constant Approximation for Individual Preference Stable Clustering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Approximation Algorithms for Fair Range Clustering.
Proceedings of the International Conference on Machine Learning, 2023

Sequential Strategic Screening.
Proceedings of the International Conference on Machine Learning, 2023

Learning the Positions in CountSketch.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Approximating Red-Blue Set Cover and Minimum Monotone Satisfying Assignment.
Proceedings of the Approximation, 2023

2022
Approximating Fair Clustering with Cascaded Norm Objectives.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Faster Fundamental Graph Algorithms via Learned Predictions.
Proceedings of the International Conference on Machine Learning, 2022

Individual Preference Stability for Clustering.
Proceedings of the International Conference on Machine Learning, 2022

Fair Representation Clustering with Several Protected Classes.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Multi Stage Screening: Enforcing Fairness and Maximizing Efficiency in a Pre-Existing Pipeline.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Improved Approximation Algorithms for Individually Fair Clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Node-weighted Network Design in Planar and Minor-closed Families of Graphs.
ACM Trans. Algorithms, 2021

Learning Online Algorithms with Distributional Advice.
Proceedings of the 38th International Conference on Machine Learning, 2021

Approximation Algorithms for Socially Fair Clustering.
Proceedings of the Conference on Learning Theory, 2021

2020
On Learned Sketches for Randomized Numerical Linear Algebra.
CoRR, 2020

Improved Local Computation Algorithm for Set Cover via Sparsification.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Individual Fairness for k-Clustering.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
(Learned) Frequency Estimation Algorithms under Zipfian Distribution.
CoRR, 2019

Tight Trade-offs for the Maximum k-Coverage Problem in the General Streaming Model.
Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2019

Learning-Based Low-Rank Approximations.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Local Computation Algorithms for Spanners.
Proceedings of the 10th Innovations in Theoretical Computer Science Conference, 2019

Scalable Fair Clustering.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning-Based Frequency Estimation Algorithms.
Proceedings of the 7th International Conference on Learning Representations, 2019

Structural Rounding: Approximation Algorithms for Graphs Near an Algorithmically Tractable Class.
Proceedings of the 27th Annual European Symposium on Algorithms, 2019

Sample-Optimal Low-Rank Approximation of Distance Matrices.
Proceedings of the Conference on Learning Theory, 2019

2018
Cost-effective conceptual design using taxonomies.
VLDB J., 2018

Set Cover in Sub-linear Time.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

2017
Cost-Effective Conceptual Design Over Taxonomies.
Proceedings of the 20th International Workshop on the Web and Databases, 2017

Fractional Set Cover in the Streaming Model.
Proceedings of the Approximation, 2017

2016
Towards Tight Bounds for the Streaming Set Cover Problem.
Proceedings of the 35th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2016

2015
Cost-Effective Conceptual Design for Information Extraction.
ACM Trans. Database Syst., 2015

Towards Tight Bounds for the Streaming Set Cover Problem.
CoRR, 2015

2014
On Streaming and Communication Complexity of the Set Cover Problem.
Proceedings of the Distributed Computing - 28th International Symposium, 2014

Improved approximation algorithms for degree-bounded network design problems with node connectivity requirements.
Proceedings of the Symposium on Theory of Computing, 2014

Which concepts are worth extracting?
Proceedings of the International Conference on Management of Data, 2014

2013
Improved Approximation Algorithms for Connected Domatic Partitions and Related Problems
CoRR, 2013

2012
Prize-Collecting Survivable Network Design in Node-Weighted Graphs.
Proceedings of the Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2012


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