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Lazier Than Lazy Greedy
v1v2v3 (latest)

Lazier Than Lazy Greedy

28 September 2014
Baharan Mirzasoleiman
Ashwinkumar Badanidiyuru
Amin Karbasi
J. Vondrák
Andreas Krause
ArXiv (abs)PDFHTML

Papers citing "Lazier Than Lazy Greedy"

50 / 144 papers shown
Title
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
Adam Breuer
18
0
0
06 Jun 2025
Data Efficient Subset Training with Differential Privacy
Ninad Jayesh Gandhi
Moparthy Venkata Subrahmanya Sri Harsha
102
0
0
09 Mar 2025
Graph Optimality-Aware Stochastic LiDAR Bundle Adjustment with Progressive Spatial Smoothing
Graph Optimality-Aware Stochastic LiDAR Bundle Adjustment with Progressive Spatial Smoothing
Jianping Li
T. Nguyen
Muqing Cao
Shenghai Yuan
Tzu-Yi Hung
Lihua Xie
173
3
0
18 Oct 2024
The Power of Second Chance: Personalized Submodular Maximization with
  Two Candidates
The Power of Second Chance: Personalized Submodular Maximization with Two Candidates
Jing Yuan
Shaojie Tang
25
0
0
05 Sep 2024
Submodular Maximization Approaches for Equitable Client Selection in
  Federated Learning
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning
Andrés Catalino Castillo Jiménez
Ege C. Kaya
Lintao Ye
Abolfazl Hashemi
FedML
64
2
0
24 Aug 2024
Training Greedy Policy for Proposal Batch Selection in Expensive
  Multi-Objective Combinatorial Optimization
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Deokjae Lee
Hyun Oh Song
Kyunghyun Cho
OffRL
100
0
0
21 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport
Submodular Framework for Structured-Sparse Optimal Transport
Piyushi Manupriya
Pratik Jawanpuria
Karthik S. Gurumoorthy
SakethaNath Jagarlapudi
Bamdev Mishra
OT
171
0
0
07 Jun 2024
Practical $0.385$-Approximation for Submodular Maximization Subject to a
  Cardinality Constraint
Practical 0.3850.3850.385-Approximation for Submodular Maximization Subject to a Cardinality Constraint
M. Tukan
Loay Mualem
Moran Feldman
60
4
0
22 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
98
2
0
11 May 2024
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Fares Fourati
Mohamed-Slim Alouini
Vaneet Aggarwal
FedML
68
7
0
09 May 2024
Localized Distributional Robustness in Submodular Multi-Task Subset
  Selection
Localized Distributional Robustness in Submodular Multi-Task Subset Selection
Ege C. Kaya
Abolfazl Hashemi
66
2
0
04 Apr 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding
  Architectures
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
S. V. Dibbo
Adam Breuer
Juston S. Moore
Michael Teti
AAML
85
5
0
21 Mar 2024
HCTO: Optimality-Aware LiDAR Inertial Odometry with Hybrid Continuous
  Time Optimization for Compact Wearable Mapping System
HCTO: Optimality-Aware LiDAR Inertial Odometry with Hybrid Continuous Time Optimization for Compact Wearable Mapping System
Jianping Li
Shenghai Yuan
Muqing Cao
Thien-Minh Nguyen
Kun Cao
Lihua Xie
97
28
0
21 Mar 2024
Scalable Networked Feature Selection with Randomized Algorithm for Robot
  Navigation
Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation
Vivek Pandey
Arash Amini
Guangyi Liu
Ufuk Topcu
Qiyu Sun
Kostas Daniilidis
N. Motee
59
0
0
18 Mar 2024
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
On Distributed Larger-Than-Memory Subset Selection With Pairwise Submodular Functions
Maximilian Böther
Abraham Sebastian
Pranjal Awasthi
Ana Klimovic
Srikumar Ramalingam
121
0
0
26 Feb 2024
STENCIL: Submodular Mutual Information Based Weak Supervision for
  Cold-Start Active Learning
STENCIL: Submodular Mutual Information Based Weak Supervision for Cold-Start Active Learning
Nathan Beck
Adithya Iyer
Rishabh K. Iyer
88
0
0
21 Feb 2024
Mini-batch Submodular Maximization
Mini-batch Submodular Maximization
Gregory Schwartzman
26
1
0
23 Jan 2024
An Experimental Design Framework for Label-Efficient Supervised
  Finetuning of Large Language Models
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
Gantavya Bhatt
Yifang Chen
Arnav M. Das
Jifan Zhang
Sang T. Truong
...
Jeff Bilmes
S. Du
Kevin Jamieson
Jordan T. Ash
Robert D. Nowak
115
15
0
12 Jan 2024
Generator Assisted Mixture of Experts For Feature Acquisition in Batch
Generator Assisted Mixture of Experts For Feature Acquisition in Batch
Vedang Asgaonkar
Aditya Jain
Abir De
46
1
0
19 Dec 2023
Combinatorial Stochastic-Greedy Bandit
Combinatorial Stochastic-Greedy Bandit
Fares Fourati
Christopher J. Quinn
Mohamed-Slim Alouini
Vaneet Aggarwal
80
9
0
13 Dec 2023
Data Diversity Matters for Robust Instruction Tuning
Data Diversity Matters for Robust Instruction Tuning
Alexander Bukharin
Tuo Zhao
164
44
0
21 Nov 2023
Fast and Space-Efficient Parallel Algorithms for Influence Maximization
Fast and Space-Efficient Parallel Algorithms for Influence Maximization
Letong Wang
Xiangyun Ding
Yan Gu
Yihan Sun
64
3
0
13 Nov 2023
Ranking with Slot Constraints
Ranking with Slot Constraints
Wentao Guo
Andrew Wang
Bradon Thymes
Thorsten Joachims
55
0
0
27 Oct 2023
Cluster-aware Semi-supervised Learning: Relational Knowledge
  Distillation Provably Learns Clustering
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Yijun Dong
Kevin Miller
Qiuyu Lei
Rachel A. Ward
58
4
0
20 Jul 2023
Ordering for Non-Replacement SGD
Ordering for Non-Replacement SGD
Yuetong Xu
Baharan Mirzasoleiman
41
0
0
28 Jun 2023
Map Point Selection for Visual SLAM
Map Point Selection for Visual SLAM
Christiaan J. Müller
C. E. V. Daalen
28
2
0
22 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
87
7
0
07 Jun 2023
Identifying Spurious Biases Early in Training through the Lens of
  Simplicity Bias
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
Yu Yang
Eric Gan
Gintare Karolina Dziugaite
Baharan Mirzasoleiman
81
28
0
30 May 2023
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional
  Settings
STREAMLINE: Streaming Active Learning for Realistic Multi-Distributional Settings
Nathan Beck
Suraj Kothawade
Pradeep Shenoy
Rishabh K. Iyer
73
2
0
18 May 2023
Linear Query Approximation Algorithms for Non-monotone Submodular
  Maximization under Knapsack Constraint
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
Canh V. Pham
Tan D. Tran
Dung T. K. Ha
My T. Thai
51
8
0
17 May 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of
  Language Models
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
H. S. V. N. S. K. Renduchintala
Krishnateja Killamsetty
S. Bhatia
Milan Aggarwal
Ganesh Ramakrishnan
Rishabh K. Iyer
Balaji Krishnamurthy
AIFin
36
4
0
11 May 2023
Accelerating Batch Active Learning Using Continual Learning Techniques
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav M. Das
Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
VLMCLL
68
10
0
10 May 2023
Maximizing Submodular Functions for Recommendation in the Presence of
  Biases
Maximizing Submodular Functions for Recommendation in the Presence of Biases
Anay Mehrotra
Nisheeth K. Vishnoi
60
7
0
03 May 2023
Deep Active Alignment of Knowledge Graph Entities and Schemata
Deep Active Alignment of Knowledge Graph Entities and Schemata
Jiacheng Huang
Zequn Sun
Qijin Chen
Xiaozhou Xu
Weijun Ren
Wei Hu
78
11
0
10 Apr 2023
EdgeVO: An Efficient and Accurate Edge-based Visual Odometry
EdgeVO: An Efficient and Accurate Edge-based Visual Odometry
H Zhao
J. Shang
Kai Liu
Chao Chen
F. Gu
53
4
0
19 Feb 2023
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial
  Examples for Supervised Learning Contribute the Least
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least
S. Joshi
Baharan Mirzasoleiman
SSL
94
22
0
18 Feb 2023
MILO: Model-Agnostic Subset Selection Framework for Efficient Model
  Training and Tuning
MILO: Model-Agnostic Subset Selection Framework for Efficient Model Training and Tuning
Krishnateja Killamsetty
A. Evfimievski
Tejaswini Pedapati
K. Kate
Lucian Popa
Rishabh K. Iyer
67
8
0
30 Jan 2023
Adaptive Control of Client Selection and Gradient Compression for
  Efficient Federated Learning
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning
Zhida Jiang
Yang Xu
Hong-Ze Xu
Zhiyuan Wang
Chen Qian
54
9
0
19 Dec 2022
Balancing Utility and Fairness in Submodular Maximization (Technical
  Report)
Balancing Utility and Fairness in Submodular Maximization (Technical Report)
Yanhao Wang
Yuchen Li
Francesco Bonchi
Ying Wang
110
5
0
02 Nov 2022
Not All Poisons are Created Equal: Robust Training against Data
  Poisoning
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang
Tianwei Liu
Baharan Mirzasoleiman
AAML
65
39
0
18 Oct 2022
Data-Efficient Augmentation for Training Neural Networks
Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu
Baharan Mirzasoleiman
67
7
0
15 Oct 2022
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits
A. Chaudhuri
Pratik Jawanpuria
Bamdev Mishra
144
3
0
04 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information
  Measures
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures
Suraj Kothawade
Akshit Shrivastava
V. Iyer
Ganesh Ramakrishnan
Rishabh K. Iyer
46
1
0
04 Oct 2022
CLINICAL: Targeted Active Learning for Imbalanced Medical Image
  Classification
CLINICAL: Targeted Active Learning for Imbalanced Medical Image Classification
Suraj Kothawade
Atharv Savarkar
V. Iyer
Lakshman Tamil
Ganesh Ramakrishnan
Rishabh K. Iyer
52
8
0
04 Oct 2022
Adaptive Second Order Coresets for Data-efficient Machine Learning
Adaptive Second Order Coresets for Data-efficient Machine Learning
Omead Brandon Pooladzandi
David Davini
Baharan Mirzasoleiman
105
65
0
28 Jul 2022
Scalable Distributed Algorithms for Size-Constrained Submodular
  Maximization in the MapReduce and Adaptive Complexity Models
Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models
Tonmoy Dey
Yixing Chen
Alan Kuhnle
76
0
0
20 Jun 2022
Active Data Discovery: Mining Unknown Data using Submodular Information
  Measures
Active Data Discovery: Mining Unknown Data using Submodular Information Measures
Suraj Kothawade
Shivang Chopra
Saikat Ghosh
Rishabh K. Iyer
74
4
0
17 Jun 2022
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Lazy and Fast Greedy MAP Inference for Determinantal Point Process
Shinichi Hemmi
Taihei Oki
Shinsaku Sakaue
K. Fujii
Satoru Iwata
40
4
0
13 Jun 2022
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Robust Subset Selection by Greedy and Evolutionary Pareto Optimization
Chao Bian
Yawen Zhou
Chao Qian
43
5
0
03 May 2022
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced
  Datasets
BASIL: Balanced Active Semi-supervised Learning for Class Imbalanced Datasets
Suraj Kothawade
P. Reddy
Ganesh Ramakrishnan
Rishabh K. Iyer
26
0
0
10 Mar 2022
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