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