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Alex Gittens

18 papers · 2013–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (5)
🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (46) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (101) πŸ’Ž Century Club (17) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer

Conferences

ICML (7) JMLR (3) AAAI (2) ACL (2) EMNLP (2) CVPR (1) IJCNLP (1)

Top co-authors

Michael W. Mahoney (5) Bulent Yener (3) Shusen Wang (3) Lilian Ngweta (2) Subha Maity (2) Yuekai Sun (2) Mikhail Yurochkin (2) Gabriel Orlanski (2) Raffay Hamid (2) Benjamin Recht (1)

Keywords

low-rank approximation (3) spectral clustering (2) randomized algorithm (2) kernel matrix (2) matrix approximation (2) ridge regression (2) multimodal learning (2) model averaging (2) question text (2) extractive code generation (2) graph laplacian (1) question answering (1) named entity recognition (1) inductive reasoning (1) information extraction (1) link prediction (1) data augmentation (1) visual representation (1) style transfer (1) domain generalization (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 Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation IJCNLP 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 Skip-Gram βˆ’ Zipf + Uniform = Vector Additivity ACL 2017 Breaking Locality Accelerates Block Gauss-Seidel ICML 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017 Revisiting the NystrΓΆm Method for Improved Large-scale Machine Learning JMLR 2016 Spectral Clustering via the Power Method - Provably ICML 2015 Hardware Compliant Approximate Image Codes CVPR 2015 Compact Random Feature Maps ICML 2014 Revisiting the Nystrom method for improved large-scale machine learning ICML 2013