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Lazier Than Lazy Greedy

28 September 2014

Baharan Mirzasoleiman

Ashwinkumar Badanidiyuru

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 $k$ -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