← Authors

Dan Feldman

22 papers · 2011–2023 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (12) πŸ‘‘ Triple Crown πŸ† Keyword Champion (7) πŸ’Ž Century Club (22) ⚑ Prolific Year (5) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (76) πŸ”₯ Unstoppable (8)

Conferences

NIPS (9) ICLR (4) ICML (4) AISTATS (2) ACML (1) ICCV (1) JMLR (1)

Top co-authors

Daniela Rus (8) Alaa Maalouf (8) Ibrahim Jubran (5) Murad Tukan (5) Samson Zhou (4) Vladimir braverman (4) Lucas Liebenwein (3) Harry Lang (3) Cenk Baykal (2) Mikhail Volkov (2)

Keywords

approximation algorithm (8) coreset construction (7) streaming algorithm (5) k-means clustering (4) logistic regression (2) statistical estimation (2) dimensionality reduction (2) projective clustering (2) core set (2) sensitivity sampling (2) affine subspace (2) function approximation (1) anomaly detection (1) point cloud registration (1) density estimation (1) neural network training (1) matrix decomposition (1) scalable learning (1) network analysis (1) robust regression (1)

Papers

Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023
Coreset for Line-Sets Clustering NIPS 2022
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more ICML 2022
Coresets for Data Discretization and Sine Wave Fitting AISTATS 2022
New Coresets for Projective Clustering and Applications AISTATS 2022
Deep Learning meets Projective Clustering ICLR 2021
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NIPS 2021
Coresets for Decision Trees of Signals NIPS 2021
Efficient Coreset Constructions via Sensitivity Sampling ACML 2021
Provably Approximated Point Cloud Registration ICCV 2021
Provable Filter Pruning for Efficient Neural Networks ICLR 2020
Coresets for Near-Convex Functions NIPS 2020
Data-Independent Neural Pruning via Coresets ICLR 2020
Sets Clustering ICML 2020
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds ICLR 2019
Fast and Accurate Least-Mean-Squares Solvers NIPS 2019
k-Means Clustering of Lines for Big Data NIPS 2019
Training Gaussian Mixture Models at Scale via Coresets JMLR 2018
Coresets for Vector Summarization with Applications to Network Graphs ICML 2017
Dimensionality Reduction of Massive Sparse Datasets Using Coresets NIPS 2016
Coresets for k-Segmentation of Streaming Data NIPS 2014
Scalable Training of Mixture Models via Coresets NIPS 2011