Alex Gittens
17 papers · 2013–2026 · 6 venues · across top CS/AI venues
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Achievements
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๐บ๏ธ Taxonomy Completionist (44) ๐ Academic Marathon ยท Half ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Gold ๐ฃ Hot Topic Early Bird
๐งญ
Keyword Pioneer
๐๏ธ
Keyword Collector
(99)
๐
Trend Setter
๐
Renaissance Researcher
(7)
๐ฅ
Unstoppable ยท Silver
๐
Conference Pioneer
๐
Century Club ยท Bronze
Top co-authors
Research topics
Machine Learning
(16)
Core Methods
(10)
Mathematics & Optimization
(7)
Optimization & Theory
(6)
Deep Learning
(4)
Natural Language Processing
(4)
Application Areas
(4)
Learning Types ยท Deep Learning
(4)
Mathematics
(4)
Optimization
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Learning Types ยท Machine Learning
(3)
Applications
(2)
Architectures
(2)
Keywords
low-rank approximation
(3)
model averaging
(2)
matrix approximation
(2)
ridge regression
(2)
spectral clustering
(2)
kernel matrix
(2)
bias-variance tradeoff
(2)
randomized algorithm
(2)
graph laplacian
(1)
information extraction
(1)
link prediction
(1)
question answering
(1)
named entity recognition
(1)
inductive reasoning
(1)
data augmentation
(1)
style transfer
(1)
domain generalization
(1)
visual representation
(1)
instruction following
(1)
code generation
(1)
Papers
Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks
AAAI 2026
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
AAAI 2025
Aligners: Decoupling LLMs and Alignment
EMNLP 2024
Simple Disentanglement of Style and Content in Visual Representations
ICML 2023
SPOCK @ Causal News Corpus 2022: Cause-Effect-Signal Span Detection Using Span-Based and Sequence Tagging Models
EMNLP 2022
Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation
ACL 2021
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition
ICML 2020
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds
JMLR 2019
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
JMLR 2018
Breaking Locality Accelerates Block Gauss-Seidel
ICML 2017
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
ICML 2017
Skip-Gram โ Zipf + Uniform = Vector Additivity
ACL 2017
Revisiting the Nystrรถm Method for Improved Large-scale Machine Learning
JMLR 2016
Hardware Compliant Approximate Image Codes
CVPR 2015
Spectral Clustering via the Power Method - Provably
ICML 2015
Compact Random Feature Maps
ICML 2014
Revisiting the Nystrom method for improved large-scale machine learning
ICML 2013