← Authors

Ali Vakilian

20 papers · 2019–2024 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (5) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown ⚑ Prolific Year (6) πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (80) πŸ’Ž Century Club (20)

Conferences

ICML (7) NIPS (6) AISTATS (3) COLT (2) ICLR (2)

Top co-authors

Piotr Indyk (3) Sandeep Silwal (3) Sepideh Mahabadi (3) Justin Chen (3) Fred Zhang (2) Tal Wagner (2) Juba Ziani (2) Anders Aamand (2) Pattara Sukprasert (2) Lee Cohen (2)

Keywords

approximation algorithm (5) fair clustering (4) low-rank approximation (3) bicriteria approximation (2) matrix approximation (2) matrix factorization (2) sample complexity (2) individual fairness (2) game theory (2) metric space (2) strategic classification (2) local search algorithm (2) linear programming relaxation (1) sequential decision (1) singular value decomposition (1) bayesian inference (1) online learning (1) matrix sketching (1) algorithmic efficiency (1) distance matrix (1)

Papers

On Socially Fair Low-Rank Approximation and Column Subset Selection NIPS 2024
Learning-Based Algorithms for Graph Searching Problems AISTATS 2024
Scalable Algorithms for Individual Preference Stable Clustering AISTATS 2024
Bayesian Strategic Classification NIPS 2024
Tight Bounds for Volumetric Spanners and Applications NIPS 2023
Sequential Strategic Screening ICML 2023
Approximation Algorithms for Fair Range Clustering ICML 2023
Improved Frequency Estimation Algorithms with and without Predictions NIPS 2023
Learning the Positions in CountSketch ICLR 2023
Constant Approximation for Individual Preference Stable Clustering NIPS 2023
Improved Approximation Algorithms for Individually Fair Clustering AISTATS 2022
Individual Preference Stability for Clustering ICML 2022
Faster Fundamental Graph Algorithms via Learned Predictions ICML 2022
Approximation Algorithms for Socially Fair Clustering COLT 2021
Learning Online Algorithms with Distributional Advice ICML 2021
Individual Fairness for k-Clustering ICML 2020
Sample-Optimal Low-Rank Approximation of Distance Matrices COLT 2019
Scalable Fair Clustering ICML 2019
Learning-Based Frequency Estimation Algorithms ICLR 2019
Learning-Based Low-Rank Approximations NIPS 2019