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Lazier Than Lazy Greedy
28 September 2014
Baharan Mirzasoleiman
Ashwinkumar Badanidiyuru
Amin Karbasi
J. Vondrák
Andreas Krause
Re-assign community
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Papers citing
"Lazier Than Lazy Greedy"
50 / 144 papers shown
Title
Data-Efficient Structured Pruning via Submodular Optimization
Marwa El Halabi
Suraj Srinivas
Simon Lacoste-Julien
85
18
0
09 Mar 2022
Submodlib: A Submodular Optimization Library
Vishal Kaushal
Ganesh Ramakrishnan
Rishabh K. Iyer
81
12
0
22 Feb 2022
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery
Quan Nguyen
Roman Garnett
64
5
0
08 Feb 2022
Using Partial Monotonicity in Submodular Maximization
Loay Mualem
Moran Feldman
72
9
0
07 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information
Changbin Li
Suraj Kothawade
F. Chen
Rishabh K. Iyer
68
4
0
30 Jan 2022
Optimal Data Selection: An Online Distributed View
Mariel A. Werner
Anastasios Nikolas Angelopoulos
Stephen Bates
Michael I. Jordan
46
1
0
25 Jan 2022
Sparsification of Decomposable Submodular Functions
Akbar Rafiey
Yuichi Yoshida
122
9
0
18 Jan 2022
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information
Suraj Kothawade
Saikat Ghosh
Sumit Shekhar
Yu Xiang
Rishabh K. Iyer
76
28
0
30 Nov 2021
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes
Aravind Reddy
Ryan Rossi
Zhao Song
Anup B. Rao
Tung Mai
Nedim Lipka
Gang Wu
Eunyee Koh
Nesreen Ahmed
72
3
0
29 Nov 2021
Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
Alberto Schiabel
Vyacheslav Kungurtsev
Jakub Mareˇcek
32
1
0
19 Nov 2021
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
Suraj Kothawade
Anmol Reddy Mekala
D. ChandraSekhara
Mayank Kothyari
Rishabh K. Iyer
Ganesh Ramakrishnan
Preethi Jyothi
80
6
0
10 Oct 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
Deyu Yang
Hanbo Zhang
Xuguang Lan
Jishiyu Ding
OffRL
77
2
0
18 Sep 2021
Batch Active Learning at Scale
Gui Citovsky
Giulia DeSalvo
Claudio Gentile
Lazaros Karydas
Anand Rajagopalan
Afshin Rostamizadeh
Sanjiv Kumar
69
156
0
29 Jul 2021
Robust Adaptive Submodular Maximization
Shaojie Tang
63
5
0
23 Jul 2021
Zero-Round Active Learning
Si-An Chen
Tianhao Wang
R. Jia
88
4
0
14 Jul 2021
DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement
Umang Bhatt
Isabel Chien
Muhammad Bilal Zafar
Adrian Weller
TDI
36
5
0
13 Jul 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade
Nathan Beck
Krishnateja Killamsetty
Rishabh K. Iyer
80
106
0
01 Jul 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Krishnateja Killamsetty
Xujiang Zhao
F. Chen
Rishabh K. Iyer
90
84
0
14 Jun 2021
A Unified Framework for Task-Driven Data Quality Management
Tianhao Wang
Yi Zeng
Ming Jin
R. Jia
76
14
0
10 Jun 2021
One-Round Active Learning
Tianhao Wang
Si-An Chen
R. Jia
403
7
0
23 Apr 2021
The Power of Subsampling in Submodular Maximization
Christopher Harshaw
Ehsan Kazemi
Moran Feldman
Amin Karbasi
101
7
0
06 Apr 2021
Optimal Sampling Gaps for Adaptive Submodular Maximization
Shaojie Tang
Jing Yuan
55
10
0
05 Apr 2021
Greedy-Based Feature Selection for Efficient LiDAR SLAM
Jianhao Jiao
Yilong Zhu
Haoyang Ye
Huaiyang Huang
Peng Yun
Linxin Jiang
Lujia Wang
Ming-Yuan Liu
94
38
0
24 Mar 2021
Adaptive Regularized Submodular Maximization
Shaojie Tang
Jing Yuan
46
9
0
28 Feb 2021
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Subset Selection
Suraj Kothawade
Vishal Kaushal
Ganesh Ramakrishnan
J. Bilmes
Rishabh K. Iyer
77
50
0
27 Feb 2021
On Meritocracy in Optimal Set Selection
Thomas Kleine Buening
Meirav Segal
D. Basu
Christos Dimitrakakis
Anne-Marie George
43
2
0
23 Feb 2021
Instance Specific Approximations for Submodular Maximization
Eric Balkanski
Sharon Qian
Yaron Singer
65
7
0
23 Feb 2021
Adaptive Sampling for Fast Constrained Maximization of Submodular Function
Francesco Quinzan
Vanja Doskoc
Andreas Göbel
Tobias Friedrich
91
5
0
12 Feb 2021
Submodular Maximization via Taylor Series Approximation
Gözde Özcan
Armin Moharrer
Stratis Ioannidis
37
5
0
19 Jan 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning
Krishnateja Killamsetty
D. Sivasubramanian
Ganesh Ramakrishnan
Rishabh Iyer University of Texas at Dallas
90
212
0
19 Dec 2020
Coresets for Robust Training of Neural Networks against Noisy Labels
Baharan Mirzasoleiman
Kaidi Cao
J. Leskovec
NoLa
79
32
0
15 Nov 2020
Planning with Submodular Objective Functions
Ruosong Wang
Hanrui Zhang
Devendra Singh Chaplot
Denis Garagić
Ruslan Salakhutdinov
96
3
0
22 Oct 2020
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time
Kai Han
Z. Cao
Shuang Cui
Benwei Wu
45
22
0
22 Oct 2020
Deep Submodular Networks for Extractive Data Summarization
Suraj Kothawade
Jiten Girdhar
Chandrashekhar Lavania
Rishabh K. Iyer
64
8
0
16 Oct 2020
Real-Time Resource Allocation for Tracking Systems
Yash Satsangi
Shimon Whiteson
F. Oliehoek
H. Bouma
22
1
0
21 Sep 2020
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
Alan Kuhnle
51
19
0
10 Sep 2020
Good Graph to Optimize: Cost-Effective, Budget-Aware Bundle Adjustment in Visual SLAM
Yipu Zhao
Justin S. Smith
Patricio A. Vela
65
9
0
23 Aug 2020
Beyond Pointwise Submodularity: Non-Monotone Adaptive Submodular Maximization in Linear Time
Shaojie Tang
79
20
0
11 Aug 2020
Submodular Meta-Learning
Arman Adibi
Aryan Mokhtari
Hamed Hassani
CLL
80
5
0
11 Jul 2020
Linear-Time Algorithms for Adaptive Submodular Maximization
Shaojie Tang
33
2
0
08 Jul 2020
Fast and Private Submodular and
k
k
k
-Submodular Functions Maximization with Matroid Constraints
Akbar Rafiey
Yuichi Yoshida
24
32
0
28 Jun 2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Mike Gartrell
Insu Han
Elvis Dohmatob
Jennifer Gillenwater
Victor-Emmanuel Brunel
60
16
0
17 Jun 2020
Submodular Maximization in Clean Linear Time
Wenxin Li
Moran Feldman
Ehsan Kazemi
Amin Karbasi
61
23
0
16 Jun 2020
Chromatic Learning for Sparse Datasets
Vladimir Feinberg
Peter Bailis
46
0
0
06 Jun 2020
Differentiable Greedy Submodular Maximization: Guarantees, Gradient Estimators, and Applications
Shinsaku Sakaue
35
0
0
06 May 2020
Crowdsourced Collective Entity Resolution with Relational Match Propagation
Jiacheng Huang
Wei Hu
Z. Bao
Yuzhong Qu
36
6
0
21 Feb 2020
Regularized Submodular Maximization at Scale
Ehsan Kazemi
Shervin Minaee
Moran Feldman
Amin Karbasi
59
36
0
10 Feb 2020
Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency
Yipu Zhao
Patricio A. Vela
75
61
0
03 Jan 2020
Interventional Experiment Design for Causal Structure Learning
AmirEmad Ghassami
Saber Salehkaleybar
Negar Kiyavash
CML
56
10
0
12 Oct 2019
Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
Chao Qian
58
23
0
12 Oct 2019
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