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Kyriakos Axiotis

10 papers · 2020–2025 · 5 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

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+5 more ↓ πŸ—ΊοΈ Taxonomy Completionist (20) 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸƒ Academic Marathon Β· Sprint 🧬 Topic Evolution
πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (53) πŸ”₯ Unstoppable Β· Bronze πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

ICML (6) ICLR (1) JMLR (1) NeurIPS (1) UAI (1)

Top co-authors

Maxim Sviridenko (5) Vahab Mirrokni (3) Mohammadhossein Bateni (3) Gang Fu (2) Mike Heddes (1) Neslihan Bulut (1) Joshua V. Dillon (1) Piotr Sankowski (1) Taisuke Yasuda (1) Adel Javanmard (1)

Research topics

Machine Learning (8) Mathematics & Optimization (7) Optimization (7) Core Methods (5) Optimization & Theory Β· Machine Learning (5) Artificial Intelligence (3) Deep Learning (3) Application Areas (3) Core AI (3) Optimization & Theory Β· Deep Learning (2) Natural Language Processing (1) Architectures (1) Mathematics (1) Resources & Methods (1)

Keywords

iterative hard thresholding (3) compressed sensing (3) sparse convex optimization (2) convex optimization (2) combinatorial optimization (2) restricted condition number (2) matrix completion (1) discrete optimization (1) representation learning (1) dynamic regret (1) sparse logistic regression (1) gradient descent (1) sparse recovery (1) sparse optimization (1) robust principal component analysis (1) k-means clustering (1) generative framework (1) restricted isometry property (1) maximum flow (1) adaptive regularization (1)

Papers

DeepCrossAttention: Supercharging Transformer Residual Connections ICML 2025 Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond ICML 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023 SubMix: Learning to Mix Graph Sampling Heuristics UAI 2023 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022 Decomposable Submodular Function Minimization via Maximum Flow ICML 2021 Local Search Algorithms for Rank-Constrained Convex Optimization ICLR 2021 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding JMLR 2021 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding ICML 2020