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Kyriakos Axiotis
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2020 – today
- 2024
- [c14]Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David P. Woodruff, Michael Wunder:
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond. ICML 2024 - [i15]Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger, Sammy Jerome, Vahab Mirrokni, David Saulpic, David P. Woodruff, Michael Wunder:
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond. CoRR abs/2402.17327 (2024) - [i14]Taisuke Yasuda, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni:
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization. CoRR abs/2402.17902 (2024) - 2023
- [c13]Kyriakos Axiotis, Maxim Sviridenko:
Gradient Descent Converges Linearly for Logistic Regression on Separable Data. ICML 2023: 1302-1319 - [c12]Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni:
SubMix: Learning to Mix Graph Sampling Heuristics. UAI 2023: 1-10 - [i13]Kyriakos Axiotis, Maxim Sviridenko:
Gradient Descent Converges Linearly for Logistic Regression on Separable Data. CoRR abs/2306.14381 (2023) - [i12]Kyriakos Axiotis, Taisuke Yasuda:
Performance of 𝓁1 Regularization for Sparse Convex Optimization. CoRR abs/2307.07405 (2023) - [i11]Kyriakos Axiotis, Sami Abu-El-Haija, Lin Chen, Matthew Fahrbach, Gang Fu:
Greedy PIG: Adaptive Integrated Gradients. CoRR abs/2311.06192 (2023) - 2022
- [b1]Kyriakos Axiotis:
Flows, Submodularity, Sparsity, and Beyond: Continuous Optimization Insights for Discrete Problems. MIT, USA, 2022 - [c11]Kyriakos Axiotis, Maxim Sviridenko:
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime. ICML 2022: 1175-1197 - [i10]Kyriakos Axiotis, Maxim Sviridenko:
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime. CoRR abs/2204.08274 (2022) - 2021
- [j1]Kyriakos Axiotis, Maxim Sviridenko:
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding. J. Mach. Learn. Res. 22: 122:1-122:47 (2021) - [c10]Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Faster Sparse Minimum Cost Flow by Electrical Flow Localization. FOCS 2021: 528-539 - [c9]Kyriakos Axiotis, Maxim Sviridenko:
Local Search Algorithms for Rank-Constrained Convex Optimization. ICLR 2021 - [c8]Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu:
Decomposable Submodular Function Minimization via Maximum Flow. ICML 2021: 446-456 - [c7]Kyriakos Axiotis, Arturs Backurs, Karl Bringmann, Ce Jin, Vasileios Nakos, Christos Tzamos, Hongxun Wu:
Fast and Simple Modular Subset Sum. SOSA 2021: 57-67 - [i9]Kyriakos Axiotis, Maxim Sviridenko:
Local Search Algorithms for Rank-Constrained Convex Optimization. CoRR abs/2101.06262 (2021) - [i8]Kyriakos Axiotis, Adam Karczmarz, Anish Mukherjee, Piotr Sankowski, Adrian Vladu:
Decomposable Submodular Function Minimization via Maximum Flow. CoRR abs/2103.03868 (2021) - [i7]Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Faster Sparse Minimum Cost Flow by Electrical Flow Localization. CoRR abs/2111.10368 (2021) - 2020
- [c6]Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. FOCS 2020: 93-104 - [c5]Kyriakos Axiotis, Maxim Sviridenko:
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding. ICML 2020: 452-462 - [i6]Kyriakos Axiotis, Aleksander Madry, Adrian Vladu:
Circulation Control for Faster Minimum Cost Flow in Unit-Capacity Graphs. CoRR abs/2003.04863 (2020) - [i5]Kyriakos Axiotis, Maxim Sviridenko:
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding. CoRR abs/2006.14571 (2020) - [i4]Kyriakos Axiotis, Arturs Backurs, Karl Bringmann, Ce Jin, Vasileios Nakos, Christos Tzamos, Hongxun Wu:
Fast and Simple Modular Subset Sum. CoRR abs/2008.10577 (2020)
2010 – 2019
- 2019
- [c4]Kyriakos Axiotis, Christos Tzamos:
Capacitated Dynamic Programming: Faster Knapsack and Graph Algorithms. ICALP 2019: 19:1-19:13 - [c3]Kyriakos Axiotis, Arturs Backurs, Ce Jin, Christos Tzamos, Hongxun Wu:
Fast Modular Subset Sum using Linear Sketching. SODA 2019: 58-69 - 2018
- [i3]Kyriakos Axiotis, Christos Tzamos:
Capacitated Dynamic Programming: Faster Knapsack and Graph Algorithms. CoRR abs/1802.06440 (2018) - [i2]Kyriakos Axiotis, Arturs Backurs, Christos Tzamos:
Fast Modular Subset Sum using Linear Sketching. CoRR abs/1807.04825 (2018) - 2016
- [c2]Kyriakos Axiotis, Dimitris Fotakis:
On the Size and the Approximability of Minimum Temporally Connected Subgraphs. ICALP 2016: 149:1-149:14 - [i1]Kyriakos Axiotis, Dimitris Fotakis:
On the Size and the Approximability of Minimum Temporally Connected Subgraphs. CoRR abs/1602.06411 (2016) - 2012
- [c1]Ioannis Voyiatzis, Kyriakos Axiotis, Nikolaos S. Papaspyrou, Hera Antonopoulou, Costas Efstathiou:
Test Set Embedding into Low-Power BIST Sequences Using Maximum Bipartite Matching. Panhellenic Conference on Informatics 2012: 74-79
Coauthor Index
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last updated on 2024-09-13 01:40 CEST by the dblp team
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