← Authors

Anastasios Kyrillidis

34 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (5) πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ† Grand Slam πŸ”₯ Unstoppable (11) ⚑ Prolific Year (5) πŸ’Ž Century Club (33) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (153)

Conferences

AISTATS (10) ICML (7) AAAI (4) NIPS (3) ICLR (2) L4DC (2) UAI (2) ALT (1) COLT (1) ICCV (1) JMLR (1)

Top co-authors

Fangshuo Liao (5) Chen Dun (4) Megasthenis Asteris (4) Junhyung Lyle Kim (4) Volkan Cevher (4) Cameron R. Wolfe (3) Anshumali Shrivastava (3) Rajiv Khanna (3) Chris Jermaine (3) Dimitris Papailiopoulos (2)

Keywords

model compression (5) gradient descent (5) matrix factorization (3) convex optimization (3) sparse optimization (3) matrix sensing (2) federated learning (2) memory optimization (2) semi-supervised learning (2) dimensionality reduction (2) neural network pruning (2) non-convex optimization (2) lottery ticket hypothesis (2) distributed training (2) sparse pca (2) compressed sensing (2) boolean satisfiability (2) combinatorial optimization (2) sparse principal component analysis (2) momentum method (2)

Papers

A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm AAAI 2026
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025
Provable Accelerated Convergence of Nesterov’s Momentum for Deep ReLU Neural Networks ALT 2024
On the Error-Propagation of Inexact Hotelling’s Deflation for Principal Component Analysis ICML 2024
Adaptive Federated Learning with Auto-Tuned Clients ICLR 2024
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time NIPS 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat ICCV 2023
LOFT: Finding Lottery Tickets through Filter-wise Training AISTATS 2023
Strong Lottery Ticket Hypothesis with $\varepsilon$–perturbation AISTATS 2023
Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum L4DC 2022
ResIST: Layer-wise decomposition of ResNets for distributed training UAI 2022
Stackmix: a complementary mix algorithm UAI 2022
i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery L4DC 2022
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication ICLR 2022
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021
On Continuous Local BDD-Based Search for Hybrid SAT Solving AAAI 2021
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints AAAI 2020
Low-rank regularization and solution uniqueness in over-parameterized matrix sensing AISTATS 2020
Negative Sampling in Semi-Supervised learning ICML 2020
Compressing Gradient Optimizers via Count-Sketches ICML 2019
Learning Sparse Distributions using Iterative Hard Thresholding NIPS 2019
IHT dies hard: Provable accelerated Iterative Hard Thresholding AISTATS 2018
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach AISTATS 2017
Dropping Convexity for Faster Semi-definite Optimization COLT 2016
Convex Block-sparse Linear Regression with Expanders – Provably AISTATS 2016
Learning Sparse Additive Models with Interactions in High Dimensions AISTATS 2016
Bipartite Correlation Clustering: Maximizing Agreements AISTATS 2016
A Simple and Provable Algorithm for Sparse Diagonal CCA ICML 2016
Composite Self-Concordant Minimization JMLR 2015
Stay on path: PCA along graph paths ICML 2015
Sparse PCA via Bipartite Matchings NIPS 2015
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
Sparse projections onto the simplex ICML 2013