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Feldman, Dan
21 publications
ICML
2023
Provable Data Subset Selection for Efficient Neural Networks Training
Murad Tukan
,
Samson Zhou
,
Alaa Maalouf
,
Daniela Rus
,
Vladimir Braverman
,
Dan Feldman
AISTATS
2022
Coresets for Data Discretization and Sine Wave Fitting
Alaa Maalouf
,
Murad Tukan
,
Eric Price
,
Daniel M. Kane
,
Dan Feldman
AISTATS
2022
New Coresets for Projective Clustering and Applications
Murad Tukan
,
Xuan Wu
,
Samson Zhou
,
Vladimir Braverman
,
Dan Feldman
NeurIPS
2022
Coreset for Line-Sets Clustering
Sagi Lotan
,
Ernesto Evgeniy Sanches Shayda
,
Dan Feldman
ICML
2022
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and More
Elad Tolochinksy
,
Ibrahim Jubran
,
Dan Feldman
NeurIPS
2021
Compressing Neural Networks: Towards Determining the Optimal Layer-Wise Decomposition
Lucas Liebenwein
,
Alaa Maalouf
,
Dan Feldman
,
Daniela Rus
NeurIPS
2021
Coresets for Decision Trees of Signals
Ibrahim Jubran
,
Ernesto Evgeniy Sanches Shayda
,
Ilan I Newman
,
Dan Feldman
ICLR
2021
Deep Learning Meets Projective Clustering
Alaa Maalouf
,
Harry Lang
,
Daniela Rus
,
Dan Feldman
ACML
2021
Efficient Coreset Constructions via Sensitivity Sampling
Vladimir Braverman
,
Dan Feldman
,
Harry Lang
,
Adiel Statman
,
Samson Zhou
ICCV
2021
Provably Approximated Point Cloud Registration
Ibrahim Jubran
,
Alaa Maalouf
,
Ron Kimmel
,
Dan Feldman
NeurIPS
2020
Coresets for Near-Convex Functions
Murad Tukan
,
Alaa Maalouf
,
Dan Feldman
ICLR
2020
Data-Independent Neural Pruning via Coresets
Ben Mussay
,
Margarita Osadchy
,
Vladimir Braverman
,
Samson Zhou
,
Dan Feldman
ICLR
2020
Provable Filter Pruning for Efficient Neural Networks
Lucas Liebenwein
,
Cenk Baykal
,
Harry Lang
,
Dan Feldman
,
Daniela Rus
ICML
2020
Sets Clustering
Ibrahim Jubran
,
Murad Tukan
,
Alaa Maalouf
,
Dan Feldman
ICLR
2019
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
Cenk Baykal
,
Lucas Liebenwein
,
Igor Gilitschenski
,
Dan Feldman
,
Daniela Rus
NeurIPS
2019
Fast and Accurate Least-Mean-Squares Solvers
Alaa Maalouf
,
Ibrahim Jubran
,
Dan Feldman
NeurIPS
2019
K-Means Clustering of Lines for Big Data
Yair Marom
,
Dan Feldman
ICML
2017
Coresets for Vector Summarization with Applications to Network Graphs
Dan Feldman
,
Sedat Ozer
,
Daniela Rus
NeurIPS
2016
Dimensionality Reduction of Massive Sparse Datasets Using Coresets
Dan Feldman
,
Mikhail Volkov
,
Daniela Rus
NeurIPS
2014
Coresets for K-Segmentation of Streaming Data
Guy Rosman
,
Mikhail Volkov
,
Dan Feldman
,
John W. Fisher Iii
,
Daniela Rus
NeurIPS
2011
Scalable Training of Mixture Models via Coresets
Dan Feldman
,
Matthew Faulkner
,
Andreas Krause