Dan Feldman
22 papers · 2011–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Academic Marathon (12)
π
Cross-Pollinator
(11)
π
Conference Polyglot
(7)
π
Academic Marathon
(12)
π
Triple Crown
π
Keyword Champion
(7)
π
Century Club
(22)
β‘
Prolific Year
(5)
π
Trend Setter
ποΈ
Keyword Collector
(76)
π₯
Unstoppable
(8)
Conferences
NIPS (9)
ICLR (4)
ICML (4)
AISTATS (2)
ACML (1)
ICCV (1)
JMLR (1)
Top co-authors
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