Mert Pilancı

1. Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
   2015/05/09 by Mert Pilancı, Martin J. Wainwright, Pilanci, Mert +1 · 11 citations
   Engineering · Decision Sciences · Mathematics · #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research #Advanced Optimization Algorithms Research
2. Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks
   2020/02/24 by Mert Pilancı, Pilanci, Mert, Tolga Ergen +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
3. Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
   2014/11/03 by Mert Pilancı, Pilanci, Mert, Martin J. Wainwright +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
4. Randomized sketches for kernels: Fast and optimal non-parametric regression
   2015/01/25 by Yun Yang, Mert Pilancı, Yang, Yun +3 · 4 citations
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Face and Expression Recognition
5. Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models
   2024/02/04 by Fangzhao Zhang, Zhang, Fangzhao, Mert Pilancı +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)
6. 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
7. 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
8. Optimal Randomized First-Order Methods for Least-Squares Problems
   2020/02/21 by Jonathan Lacotte, Mert Pilancı, Lacotte, Jonathan +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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. Pretraining and the Lasso
    2024/01/23 by Erin Craig, Mert Pilancı, Craig, Erin +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)
16. Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
    2024/10/02 by Elad Romanov, Romanov, Elad, Fangzhao Zhang +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
17. CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
    2024/11/02 by Miria Feng, Zachary Frangella, Feng, Miria +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
18. 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
19. 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