Martin Slawski
11 papers · 2011–2024 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§
Keyword Pioneer
ποΈ
Keyword Collector
(79)
π
Trend Setter
π
Century Club Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(10)
Mathematics & Optimization
(8)
Optimization
(8)
Optimization & Theory
(8)
Mathematics
(4)
Learning Types
(3)
Application Areas
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Keywords
random projection
(3)
dimensionality reduction
(3)
permutation recovery
(2)
constrained optimization
(2)
linear regression
(2)
cosine similarity
(2)
matrix factorization
(1)
binary matrix factorization
(1)
bayesian inference
(1)
optimal transport
(1)
sparse representation
(1)
non-convex optimization
(1)
low-rank approximation
(1)
outlier detection
(1)
label noise
(1)
em algorithm
(1)
l1 regularization
(1)
nearest neighbor search
(1)
nonparametric estimation
(1)
maximum likelihood
(1)
Papers
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport
JMLR 2024
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group
AISTATS 2023
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
JMLR 2020
A Sparse Representation-Based Approach to Linear Regression with Partially Shuffled Labels
UAI 2019
Compressed Least Squares Regression revisited
AISTATS 2017
Simple strategies for recovering inner products from coarsely quantized random projections
NeurIPS 2017
Quantized Random Projections and Non-Linear Estimation of Cosine Similarity
NeurIPS 2016
b-bit Marginal Regression
NeurIPS 2015
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
NeurIPS 2015
Matrix factorization with binary components
NeurIPS 2013
Sparse recovery by thresholded non-negative least squares
NeurIPS 2011