Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent

5 February 2018

Papers citing "Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent"

33 / 33 papers shown

Title
Evaluation and Incident Prevention in an Enterprise AI Assistant Akash Maharaj David Arbour Daniel Lee Uttaran Bhattacharya Anup B. Rao Austin Zane Avi Feller Kun Qian Yunyao Li 25 0 0 11 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 62 0 0 01 Apr 2025
ELIP: Enhanced Visual-Language Foundation Models for Image Retrieval Guanqi Zhan Yuanpei Liu Kai Han Weidi Xie Andrew Zisserman VLM 219 0 0 21 Feb 2025
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 20 16 0 08 Dec 2023
Fair Wasserstein Coresets Zikai Xiong Niccolò Dalmasso Shubham Sharma Freddy Lecue Daniele Magazzeni Vamsi K. Potluru T. Balch Manuela Veloso 34 2 0 09 Nov 2023
Coreset Markov Chain Monte Carlo Naitong Chen Trevor Campbell 32 4 0 25 Oct 2023
Training Quantum Boltzmann Machines with Coresets Joshua Viszlai T. Tomesh P. Gokhale Eric R. Anschuetz Frederic T. Chong 24 0 0 26 Jul 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling Minghe Zhang Chaosheng Dong Jinmiao Fu Tianchen Zhou Jia Liang ... Bo Liu Michinari Momma Bryan Wang Yan Gao Yi Sun 35 3 0 19 Jun 2023
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks Jean-Michel Attendu Jean-Philippe Corbeil 41 15 0 05 Jun 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Provable Data Subset Selection For Efficient Neural Network Training M. Tukan Samson Zhou Alaa Maalouf Daniela Rus Vladimir Braverman Dan Feldman MLT 31 9 0 09 Mar 2023
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 32 40 0 29 Sep 2022
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems Jiajia Guo Chao-Kai Wen Shi Jin Geoffrey Ye Li 37 146 0 29 Jun 2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling Jing Wang Jiahui Zou Haiying Wang 45 16 0 17 May 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 35 14 0 11 Mar 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 35 13 0 22 Dec 2021
Gradient-matching coresets for continual learning Lukas Balles Giovanni Zappella Cédric Archambeau CLL DD 49 2 0 09 Dec 2021
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 30 8 0 06 Dec 2021
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 29 16 0 05 Dec 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 30 8 0 26 Sep 2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning Krishnateja Killamsetty Xujiang Zhao F. Chen Rishabh K. Iyer 24 78 0 14 Jun 2021
Quantifying sources of uncertainty in drug discovery predictions with probabilistic models S. Lazic Dominic P. Williams UD 19 14 0 18 May 2021
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning Chaosheng Dong Xiaojie Jin Weihao Gao Yijia Wang Hongyi Zhang Xiang Wu Jianchao Yang Xiaobing Liu 28 5 0 27 Apr 2021
Soft-Label Anonymous Gastric X-ray Image Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 42 51 0 07 Apr 2021
Risk Bounds for Learning via Hilbert Coresets Spencer Douglas Piyush Kumar R. Prasanth 24 0 0 29 Mar 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 94 190 0 27 Feb 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 27 200 0 19 Dec 2020
Coreset Clustering on Small Quantum Computers T. Tomesh P. Gokhale Eric R. Anschuetz Frederic T. Chong 21 26 0 30 Apr 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 44 172 0 23 Apr 2020
Spectral Subsampling MCMC for Stationary Time Series R. Salomone M. Quiroz Robert Kohn M. Villani Minh-Ngoc Tran AI4TS 11 14 0 30 Oct 2019
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 26 329 0 26 Jun 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 35 15 0 26 Jun 2018
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,267 0 09 Jun 2012