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Data-Driven Clustering via Parameterized Lloyd's Families
v1v2v3 (latest)

Data-Driven Clustering via Parameterized Lloyd's Families

19 September 2018
Maria-Florina Balcan
Travis Dick
Colin White
ArXiv (abs)PDFHTML

Papers citing "Data-Driven Clustering via Parameterized Lloyd's Families"

21 / 21 papers shown
Modified K-means Algorithm with Local Optimality Guarantees
Modified K-means Algorithm with Local Optimality Guarantees
Mingyi Li
Michael R. Metel
Akiko Takeda
DRL
230
0
0
08 Jun 2025
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable Guarantees
Tuning Algorithmic and Architectural Hyperparameters in Graph-Based Semi-Supervised Learning with Provable GuaranteesConference on Uncertainty in Artificial Intelligence (UAI), 2025
Ally Yalei Du
Eric Huang
Dravyansh Sharma
489
2
0
18 Feb 2025
Offline-to-online hyperparameter transfer for stochastic bandits
Offline-to-online hyperparameter transfer for stochastic banditsAAAI Conference on Artificial Intelligence (AAAI), 2025
Dravyansh Sharma
Arun Sai Suggala
OffRL
371
8
0
06 Jan 2025
Subsidy design for better social outcomes
Subsidy design for better social outcomes
Maria-Florina Balcan
Matteo Pozzi
Dravyansh Sharma
272
4
0
04 Sep 2024
Learning accurate and interpretable tree-based models
Learning accurate and interpretable tree-based models
Maria-Florina Balcan
Dravyansh Sharma
245
7
0
24 May 2024
Learning Actionable Counterfactual Explanations in Large State Spaces
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita
Matthew R. Walter
Avrim Blum
OffRL
511
1
0
25 Apr 2024
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Data-Driven Performance Guarantees for Classical and Learned Optimizers
Rajiv Sambharya
Bartolomeo Stellato
235
6
0
22 Apr 2024
An Analysis of $D^α$ seeding for $k$-means
An Analysis of DαD^αDα seeding for kkk-means
Étienne Bamas
Sai Ganesh Nagarajan
Ola Svensson
165
0
0
20 Oct 2023
Structural Analysis of Branch-and-Cut and the Learnability of Gomory
  Mixed Integer Cuts
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer CutsNeural Information Processing Systems (NeurIPS), 2022
Maria-Florina Balcan
Siddharth Prasad
Tuomas Sandholm
Ellen Vitercik
159
27
0
15 Apr 2022
Robustification of Online Graph Exploration Methods
Robustification of Online Graph Exploration Methods
Franziska Eberle
Alexander Lindermayr
Nicole Megow
L. Nolke
Jens Schlöter
AAMLOOD
301
25
0
10 Dec 2021
Learning-Augmented Algorithms for Online Steiner Tree
Learning-Augmented Algorithms for Online Steiner Tree
Chenyang Xu
Benjamin Moseley
245
21
0
10 Dec 2021
Learning-to-learn non-convex piecewise-Lipschitz functions
Learning-to-learn non-convex piecewise-Lipschitz functions
Maria-Florina Balcan
M. Khodak
Dravyansh Sharma
Ameet Talwalkar
246
19
0
19 Aug 2021
Faster Matchings via Learned Duals
Faster Matchings via Learned DualsNeural Information Processing Systems (NeurIPS), 2021
M. Dinitz
Sungjin Im
Thomas Lavastida
Benjamin Moseley
Sergei Vassilvitskii
147
85
0
20 Jul 2021
Data driven semi-supervised learning
Data driven semi-supervised learningNeural Information Processing Systems (NeurIPS), 2021
Maria-Florina Balcan
Dravyansh Sharma
334
19
0
18 Mar 2021
Generalization in portfolio-based algorithm selection
Generalization in portfolio-based algorithm selectionAAAI Conference on Artificial Intelligence (AAAI), 2020
Maria-Florina Balcan
Tuomas Sandholm
Ellen Vitercik
205
13
0
24 Dec 2020
Learnable and Instance-Robust Predictions for Online Matching, Flows and
  Load Balancing
Learnable and Instance-Robust Predictions for Online Matching, Flows and Load BalancingEmbedded Systems and Applications (ESA), 2020
Thomas Lavastida
Benjamin Moseley
R. Ravi
Chenyang Xu
OOD
342
64
0
23 Nov 2020
Data-driven Algorithm Design
Data-driven Algorithm Design
Maria-Florina Balcan
148
3
0
14 Nov 2020
Refined bounds for algorithm configuration: The knife-edge of dual class
  approximability
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Maria-Florina Balcan
Tuomas Sandholm
Ellen Vitercik
309
16
0
21 Jun 2020
Learning piecewise Lipschitz functions in changing environments
Learning piecewise Lipschitz functions in changing environments
Maria-Florina Balcan
Travis Dick
Dravyansh Sharma
252
2
0
22 Jul 2019
Learning to Link
Learning to LinkInternational Conference on Learning Representations (ICLR), 2019
Maria-Florina Balcan
Travis Dick
Manuel Lang
371
26
0
01 Jul 2019
Semi-bandit Optimization in the Dispersed Setting
Semi-bandit Optimization in the Dispersed Setting
Maria-Florina Balcan
Travis Dick
W. Pegden
319
25
0
18 Apr 2019
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