Publications

K. Fountoulakis, P. Li, S. Yang (2021). Local Hyper-flow Diffusion. arXiv:2102.07945.

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A. Baranwal, K. Fountoulakis, A. Jagannath (2021). Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. arXiv:2102.06966.

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S. Yang, P. Senapati, D. Wang, C. Bauch, K. Fountoulakis (2020). Targeted Pandemic Containment Through Identifying Local Contact Network Bottlenecks. arXiv:2006.06939.

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S. Yang, D. Wang, K. Fountoulakis (2020). p-Norm Flow Diffusion for Local Graph Clustering. Thirty-seventh International Conference on Machine Learning (ICML) 2020.

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K. Fountoulakis, M. Liu, D. F. Gleich, M. W. Mahoney (2020). Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. arXiv:2004.09608.

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W. Ha, K. Fountoulakis, M. W. Mahoney (2020). Statistical Guarantees for Local Graph Clustering. AISTATS.

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S. Das, J. Demmel, K. Fountoulakis, L. Grigori, M. W. Mahoney, S. Yang (2019). Parallel and Communication Avoiding Least Angle Regression. SISC.

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E. Faerman, F. Borutta, K. Fountoulakis, M. W. Mahoney (2018). Locality And Structure Aware Graph Node Embedding. WI2018.

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K. Fountoulakis, R. Tappenden (2018). A Flexible Coordinate Descent Method. COAP.

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A. Devarakonda, K. Fountoulakis, J. Demmel, M. Mahoney (2018). Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. IPDPS.

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K. Fountoulakis, F. Roosta-Khorasani, J. Shun, X. Cheng, M. Mahoney (2017). Variational Perspective on Local Graph Clustering. Math. Program..

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D. Wang, K. Fountoulakis, M. Henzinger, M. Mahoney, S. Rao (2017). Capacity Releasing Diffusion for Speed and Locality. ICML.

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A. Devarakonda, K. Fountoulakis, J. Demmel, M. Mahoney (2017). Avoiding communication in primal and dual block coordinate descent methods. SIAM SISC.

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K. Fountoulakis, A. Kundu, E.-M. Kontopoulou, P. Drineas (2017). A Randomized Rounding Algorithm for Sparse PCA. TKDD.

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K. Fountoulakis, D. Gleich, M. Mahoney (2017). An Optimization Approach to Locally-Biased Graph Algorithms. PIEEE.

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K. Fountoulakis, J. Gondzio (2016). Performance of First- and Second-Order Methods for L1-Regularized Least Squares Problems. COAP.

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K. Fountoulakis, J. Gondzio (2016). A Second-Order Method for Strongly-Convex L1-Regularization Problems. Math. Program..

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J. Shun, F. Roosta-Khorasani, K. Fountoulakis, M. Mahoney (2016). Parallel Local Graph Clustering. VLDB..

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K. Fountoulakis (2015). Higher-Order Methods for Large-Scale Optimization. PhD Thesis.

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I. Dassios, K. Fountoulakis, J. Gondzio (2015). A Preconditioner for a Primal-dual Newton Conjugate Gradients Method for Compressed Sensing Problems. SIAM J. Sci. Comput..

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K. Fountoulakis, J. Gondzio, P. Zhlobich (2014). Matrix-free interior point method for compressed sensing problems. Math. Program..

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