Dan Feldman
22 papers · 2011–2023 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π¬
Deep Specialist
(12)
π
Triple Crown
π
Keyword Champion
(8)
π§
Keyword Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(95)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(21)
Optimization & Theory
(14)
Core Methods
(13)
Mathematics & Optimization
(9)
Optimization
(9)
Application Areas
(7)
Data Science & Analytics
(6)
Applications
(5)
Artificial Intelligence
(4)
Computer Science
(4)
Core AI
(4)
Foundations
(4)
Methods
(4)
Deep Learning
(3)
Architectures
(2)
Keywords
coreset construction
(8)
approximation algorithm
(8)
streaming algorithm
(5)
k-means clustering
(4)
model compression
(3)
projective clustering
(3)
matrix factorization
(2)
dimensionality reduction
(2)
core set
(2)
logistic regression
(2)
statistical estimation
(2)
affine subspace
(2)
sensitivity sampling
(2)
function approximation
(1)
neural network training
(1)
density estimation
(1)
scalable learning
(1)
robust regression
(1)
matrix decomposition
(1)
distributed learning
(1)
Papers
Provable Data Subset Selection For Efficient Neural Networks Training
ICML 2023
Coreset for Line-Sets Clustering
NeurIPS 2022
Coresets for Data Discretization and Sine Wave Fitting
AISTATS 2022
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more
ICML 2022
New Coresets for Projective Clustering and Applications
AISTATS 2022
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
NeurIPS 2021
Coresets for Decision Trees of Signals
NeurIPS 2021
Deep Learning meets Projective Clustering
ICLR 2021
Efficient Coreset Constructions via Sensitivity Sampling
ACML 2021
Provably Approximated Point Cloud Registration
ICCV 2021
Coresets for Near-Convex Functions
NeurIPS 2020
Data-Independent Neural Pruning via Coresets
ICLR 2020
Provable Filter Pruning for Efficient Neural Networks
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
NeurIPS 2019
k-Means Clustering of Lines for Big Data
NeurIPS 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
NeurIPS 2016
Coresets for k-Segmentation of Streaming Data
NeurIPS 2014
Scalable Training of Mixture Models via Coresets
NeurIPS 2011