Anastasios Kyrillidis
- Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
2023/05/26 by Zichang Liu, Aditya Desai, Liu, Zichang +13 · 44 citations
Computer Science · #Topic Modeling #Advanced Neural Network Applications #Explainable Artificial Intelligence (XAI)
- Composite Self-Concordant Minimization
2013/08/13 by Quoc Tran-Dinh, Tran-Dinh, Quoc, Anastasios Kyrillidis +3 · 4 citations
Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
- Sparse projections onto the simplex
2012/06/07 by Anastasios Kyrillidis, Kyrillidis, Anastasios, Stephen Becker +4 · 4 citations
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- IHT dies hard: Provable accelerated Iterative Hard Thresholding
2017/12/26 by Rajiv Khanna, Anastasios Kyrillidis, Khanna, Rajiv +1 · 3 citations
Computer Science · Engineering · #Blind Source Separation Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty
2023/09/28 by Carlos Quintero, Quintero-Peña, Carlos, Wil Thomason +7 · 4 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #I.2.8 #I.2.9 #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Convergence and Stability of the Stochastic Proximal Point Algorithm\n with Momentum
2021/11/11 by Junhyung Lyle Kim, Panos Toulis, Kim, Junhyung Lyle +3 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Statistical inference using SGD
2017/05/21 by Tianyang Li, Li, Tianyang, Liu Liu +5 · 1 citation
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
2021/06/16 by Junhyung Lyle Kim, Jose Antonio Lara Benitez, Kim, Junhyung Lyle +9 · 1 citation
Computer Science · Engineering · Mathematics · #49-02 #Advanced Optimization Algorithms Research #F.2.1 #FOS: Computer and information sciences #FOS: Mathematics #G.4 #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Software (cs.MS) #Optimization and Control (math.OC) #Optimization and Search Problems #Sparse and Compressive Sensing Techniques
- On Continuous Local BDD-Based Search for Hybrid SAT Solving
2020/12/14 by Anastasios Kyrillidis, Moshe Y. Vardi, Kyrillidis, Anastasios +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #FOS: Mathematics #Formal Methods in Verification #Information Theory (cs.IT) #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- ResIST: Layer-Wise Decomposition of ResNets for Distributed Training
2021/07/02 by Chen Dun, C. Wolfe, Dun, Chen +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
- Cold Start Streaming Learning for Deep Networks
2022/11/09 by C. Wolfe, Wolfe, Cameron R., Anastasios Kyrillidis +1 · 1 citation
Computer Science · #68T07 #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #I.2.10 #I.2.6 #I.4.0 #Image Enhancement Techniques #Machine Learning (cs.LG) #Machine Learning and ELM #Optimization and Control (math.OC)
- Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size
2023/09/07 by John Chen, Chen Dun, Chen, John +3 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
2023/09/06 by Erdong Hu, Yuxin Tang, Hu, Erdong +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Identity-Paired Progressive Depth Training: When Trainability Persists Beyond Expressibility
2026/07/18 by Athanasios Hadjidimoulas, Tirthak Patel, Anastasios Kyrillidis
#quant-ph #cs.LG #math.OC