Ali Vakilian
20 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Academic Marathon (5)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π
Triple Crown
β‘
Prolific Year
(6)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(80)
π
Century Club
(20)
Conferences
ICML (7)
NIPS (6)
AISTATS (3)
COLT (2)
ICLR (2)
Top co-authors
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