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Pilanci, Mert

  1. Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
    2015/05/09 by Mert Pilancı, Pilanci, Mert, Martin J. Wainwright +1 · 11 citations
    Engineering · Decision Sciences · Mathematics · #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research #Advanced Optimization Algorithms Research
  2. Compressing Large Language Models using Low Rank and Low Precision Decomposition
    2024/05/29 by Saha, Rajarshi, Sagan, Naomi, Srivastava, Varun +2 · 11 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  3. Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
    2020/02/24 by Mert Pilancı, Tolga Ergen, Pilanci, Mert +1 · 5 citations
    Computer Science · Engineering · #Computational Complexity (cs.CC) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  4. Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
    2014/11/03 by Mert Pilancı, Martin J. Wainwright, Pilanci, Mert +1 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  5. Randomized sketches for kernels: Fast and optimal non-parametric regression
    2015/01/25 by Yun Yang, Yang, Yun, Mert Pilancı +3 · 4 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Face and Expression Recognition
  6. Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
    2024/02/04 by Fangzhao Zhang, Mert Pilancı, Zhang, Fangzhao +1 · 5 citations
    Earth and Planetary Sciences · Engineering · #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #FOS: Mathematics #Geophysical and Geoelectrical Methods #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
  7. Randomized Sketches of Convex Programs with Sharp Guarantees
    2014/04/29 by Pilanci, Mert, Wainwright, Martin J. · 2 citations
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  8. Convex Geometry and Duality of Over-parameterized Neural Networks
    2020/02/25 by Ergen, Tolga, Pilanci, Mert · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Revealing the Structure of Deep Neural Networks via Convex Duality
    2020/02/22 by Ergen, Tolga, Pilanci, Mert · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions
    2022/02/02 by Aaron Mishkin, Mishkin, Aaron, Arda Sahiner +3 · 2 citations
    Engineering · Computer Science · Medicine · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Medical Imaging Techniques and Applications
  11. Matrix Compression via Randomized Low Rank and Low Precision Factorization
    2023/10/17 by Rajarshi Saha, Varun Srivastava, Saha, Rajarshi +3 · 2 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  12. Faster Least Squares Optimization
    2019/11/06 by Lacotte, Jonathan, Pilanci, Mert · 1 citation
    #Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC)
  13. Optimal Randomized First-Order Methods for Least-Squares Problems
    2020/02/21 by Jonathan Lacotte, Lacotte, Jonathan, Mert Pilancı +1 · 1 citation
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  14. Fast Convex Quadratic Optimization Solvers with Adaptive Sketching-based\n Preconditioners
    2021/04/29 by Jonathan Lacotte, Lacotte, Jonathan, Mert Pilancı +1 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  15. Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
    2020/12/24 by Arda Sahiner, Sahiner, Arda, Tolga Ergen +5 · 1 citation
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and ELM
  16. Approximate Weighted CR Coded Matrix Multiplication
    2020/11/19 by Charalambides, Neophytos, Pilanci, Mert, Hero, Alfred · 1 citation
    #65Dxx #65Fxx #E.4 #FOS: Computer and information sciences #FOS: Mathematics #H.1.1 #Information Theory (cs.IT) #Numerical Analysis (math.NA)
  17. Spectral Adapter: Fine-Tuning in Spectral Space
    2024/05/22 by Fangzhao Zhang, Zhang, Fangzhao, Mert Pilancı +1 · 2 citations
    Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Geophysics and Sensor Technology #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Numerical methods in inverse problems
  18. Adaptive Newton Sketch: Linear-time Optimization with Quadratic\n Convergence and Effective Hessian Dimensionality
    2021/05/15 by Jonathan Lacotte, Lacotte, Jonathan, Yifei Wang +3 · 1 citation
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Face and Expression Recognition
  19. Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions
    2021/07/12 by Sahiner, Arda, Ergen, Tolga, Ozturkler, Batu +4 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #electronic engineering #information engineering
  20. Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough
    2022/01/05 by Haritaoglu, Esin Darici, Rasmussen, Nicholas, Tan, Daniel C. H. +12 · 1 citation
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  21. LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization
    2025/02/15 by Zhang, Erica, Goto, Ryunosuke, Sagan, Naomi +7 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time
    2024/02/06 by Kim, Sungyoon, Pilanci, Mert · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  23. Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery
    2022/09/30 by Wang, Yifei, Hua, Yixuan, Candés, Emmanuel +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  24. Globally Optimal Training of Neural Networks with Threshold Activation Functions
    2023/03/06 by Tolga Ergen, Halil Ibrahim Gulluk, Ergen, Tolga +5 · 1 citation
    Computer Science · Mathematics · Engineering · #Stochastic Gradient Optimization Techniques #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques
  25. Gradient Coding with Iterative Block Leverage Score Sampling
    2023/08/06 by Charalambides, Neophytos, Pilanci, Mert, Hero, Alfred · 1 citation
    #65B99 #65F10 #65F20 #65F45 #65F55 #68P20 #68P30 #68W20 #68W25 #94A20 #Distributed #E.4 #FOS: Computer and information sciences #FOS: Mathematics #G.1.2 #G.1.3 #G.1.6 #G.3 #Information Retrieval (cs.IR) #Information Theory (cs.IT) #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Parallel #and Cluster Computing (cs.DC)
  26. Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs
    2023/09/26 by Dwaraknath, Rajat Vadiraj, Ergen, Tolga, Pilanci, Mert · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Volumetric Reconstruction Resolves Off-Resonance Artifacts in Static and Dynamic PROPELLER MRI
    2023/11/22 by Ghosh, Annesha, Wetzstein, Gordon, Pilanci, Mert +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Medical Physics (physics.med-ph)
  28. The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models
    2023/12/19 by Tolga Ergen, Mert Pilancı, Ergen, Tolga +1 · 1 citation
    Computer Science · Engineering · Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optical Imaging and Spectroscopy Techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  29. Pretraining and the Lasso
    2024/01/23 by Erin Craig, Craig, Erin, Mert Pilancı +16 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Algorithms #Machine Learning and Data Classification #Methodology (stat.ME)
  30. Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks
    2021/10/18 by Ergen, Tolga, Pilanci, Mert · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  31. Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
    2024/10/02 by Elad Romanov, Fangzhao Zhang, Romanov, Elad +3 · 1 citation
    Computer Science · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Neural Networks and Reservoir Computing #Optimization and Control (math.OC) #Signal Processing (eess.SP) #electronic engineering #information engineering
  32. Geometric Algebra Planes: Convex Implicit Neural Volumes
    2024/11/20 by Sivgin, Irmak, Fridovich-Keil, Sara, Wetzstein, Gordon +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  33. CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
    2024/11/02 by Miria Feng, Feng, Miria, Zachary Frangella +3 · 1 citation
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  34. Exploring the loss landscape of regularized neural networks via convex duality
    2024/11/12 by Sungyoon Kim, Aaron Mishkin, Kim, Sungyoon +3 · 1 citation
    Computer Science · Engineering · #Neural Networks and Applications #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
  35. Separating the Effects of Batch Normalization on CNN Training Speed and Stability Using Classical Adaptive Filter Theory
    2020/02/25 by Elaina Chai, Mert Pilancı, Chai, Elaina +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Signal Processing (eess.SP) #electronic engineering #information engineering