Axiotis, Kyriakos

10 publications

ICML 2025 DeepCrossAttention: Supercharging Transformer Residual Connections Mike Heddes, Adel Javanmard, Kyriakos Axiotis, Gang Fu, Mohammadhossein Bateni, Vahab Mirrokni

ICML 2024 Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David Woodruff, Michael Wunder

NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization Taisuke Yasuda, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni

ICML 2023 Gradient Descent Converges Linearly for Logistic Regression on Separable Data Kyriakos Axiotis, Maxim Sviridenko

UAI 2023 SubMix: Learning to Mix Graph Sampling Heuristics Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, Mohammadhossein Bateni

ICML 2022 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime Kyriakos Axiotis, Maxim Sviridenko

ICML 2021 Decomposable Submodular Function Minimization via Maximum Flow Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu

ICLR 2021 Local Search Algorithms for Rank-Constrained Convex Optimization Kyriakos Axiotis, Maxim Sviridenko

JMLR 2021 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding Kyriakos Axiotis, Maxim Sviridenko

ICML 2020 Sparse Convex Optimization via Adaptively Regularized Hard Thresholding Kyriakos Axiotis, Maxim Sviridenko