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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
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 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 Jing Yuan Shaojie Tang 25 0 0 05 Sep 2024
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 Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 100 0 0 21 Jun 2024
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 M. Tukan Loay Mualem Moran Feldman 60 4 0 22 May 2024
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 Fares Fourati Mohamed-Slim Alouini Vaneet Aggarwal FedML 68 7 0 09 May 2024
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 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 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 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 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 Nathan Beck Adithya Iyer Rishabh K. Iyer 88 0 0 21 Feb 2024
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 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 Vedang Asgaonkar Aditya Jain Abir De 46 1 0 19 Dec 2023
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 Alexander Bukharin Tuo Zhao 164 44 0 21 Nov 2023
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 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 Yijun Dong Kevin Miller Qiuyu Lei Rachel A. Ward 58 4 0 20 Jul 2023
Ordering for Non-Replacement SGD Yuetong Xu Baharan Mirzasoleiman 41 0 0 28 Jun 2023
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 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 Yu Yang Eric Gan Gintare Karolina Dziugaite Baharan Mirzasoleiman 81 28 0 30 May 2023
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 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 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 Arnav M. Das Gantavya Bhatt M. Bhalerao Vianne R. Gao Rui Yang J. Bilmes VLM CLL 68 10 0 10 May 2023
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 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 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 S. Joshi Baharan Mirzasoleiman SSL 94 22 0 18 Feb 2023
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 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) 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 Yu Yang Tianwei Liu Baharan Mirzasoleiman AAML 65 39 0 18 Oct 2022
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 A. Chaudhuri Pratik Jawanpuria Bamdev Mishra 144 3 0 04 Oct 2022
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 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 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 Tonmoy Dey Yixing Chen Alan Kuhnle 76 0 0 20 Jun 2022
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 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 Chao Bian Yawen Zhou Chao Qian 43 5 0 03 May 2022
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