- Soft-Quantum Algorithms
2026/04/07 by Basil Kyriacou, Mo Kordzanganeh, Maniraman Periyasamy +1 · 1 voice
Computer Science · Physics and Astronomy · #Artificial neural network #Binary number #Convergence (economics) #Fidelity #Minification #Quantum #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum algorithm #Quantum circuit #Quantum many-body systems #Unitarity #Unitary state #cs.AI #cs.LG #quant-ph
- Multi-period Power System Risk Minimization under Wildfire Disruptions
2023/05/04 by Hanbin Yang, Noah Rhodes, Yang, Hanbin +7 · 7 citations
Computer Science · Engineering · Mathematics · #Benchmark (surveying) #Computer science #Distributed and Parallel Computing Systems #Electricity #Energy Load and Power Forecasting #Engineering #Environmental science #FOS: Mathematics #Geography #Grid #Mathematical optimization #Mathematics #Minification #Operations research #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Reliability engineering #Robust optimization #Stochastic optimization #Stochastic programming
- Performative Prediction with Neural Networks
2023/04/14 by Mehrnaz Mofakhami, Ioannis Mitliagkas, Mofakhami, Mehrnaz +3 · 11 citations
Computer Science · Mathematics · Physics and Astronomy · #Applied mathematics #Artificial intelligence #Artificial neural network #Computer Science and Game Theory (cs.GT) #Computer science #Convexity #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Focus (optics) #Lipschitz continuity #Machine Learning (cs.LG) #Mathematical analysis #Mathematical optimization #Mathematics #Minification #Model Reduction and Neural Networks #Performative utterance #Resampling #Stochastic Gradient Optimization Techniques
- Predictive Multiplicity in Probabilistic Classification
2022/06/02 by Jamelle Watson-Daniels, Watson-Daniels, Jamelle, David C. Parkes +3 · 11 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial intelligence #Bayesian Modeling and Causal Inference #Computer science #Data mining #Econometrics #Empirical risk minimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine learning #Mathematics #Minification #Outlier #Predictive modelling #Predictive power #Probabilistic logic #Statistical Methods and Inference #Statistical model
- Decision-Dependent Risk Minimization in Geometrically Decaying Dynamic Environments
2022/04/08 by Mitas Ray, Ray, Mitas, Dmitriy Drusvyatskiy +5 · 8 citations
Computer Science · Decision Sciences · Economics, Econometrics and Finance · Mathematics · #Computer science #Decision maker #Economic and Environmental Valuation #Economics #FOS: Computer and information sciences #FOS: Mathematics #Function (biology) #Logarithm #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Minification #Operations research #Optimization and Control (math.OC) #Oracle #Order (exchange) #Reduction (mathematics) #Risk and Portfolio Optimization #Statistical Methods and Inference #cs.LG #math.OC #stat.ML
- Wide Network Learning with Differential Privacy
2021/03/01 by Huanyu Zhang, Ilya Mironov, Zhang, Huanyu +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial intelligence #Artificial neural network #Computer science #Contrast (vision) #Curse of dimensionality #Data Structures and Algorithms (cs.DS) #Data mining #Deep learning #Deep neural networks #Differential privacy #Embedding #Empirical risk minimization #FOS: Computer and information sciences #Focus (optics) #Intuition #Machine Learning (cs.LG) #Machine learning #Minification #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #cs.DS #cs.LG
- Near-optimal discrete optimization for experimental design: a regret minimization approach
2020/01/10 by Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh +1 · 12 citations
Computer Science · Engineering · Mathematics · #Applied mathematics #Combinatorics #Computer science #Machine Learning and Algorithms #Mathematical analysis #Mathematical optimization #Mathematics #Minification #Optimal design #Polynomial #Regret #Selection (genetic algorithm) #Sparse and Compressive Sensing Techniques #Statistics #Stochastic Gradient Optimization Techniques
- Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples
2019/01/24 by Kamil Nar, Orhan Ocal, Nar, Kamil +6 · 1 citation
Computer Science · Engineering · Mathematics · #Adversarial Robustness in Machine Learning #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Artificial neural network #Binary classification #Classifier (UML) #Computer science #Cross entropy #Decision boundary #Entropy (arrow of time) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Margin (machine learning) #Minification #Pattern recognition (psychology) #Support vector machine #Test data #Training set #cs.LG #stat.ML
- Stochastic Methods for Composite and Weakly Convex Optimization Problems
2017/03/24 by John Duchi, John C. Duchi, Duchi, John +2 · 11 citations
Computer Science · Engineering · Mathematics · #Applied mathematics #Computer science #Continuous-time stochastic process #Convex function #FOS: Mathematics #Function (biology) #Mathematical optimization #Mathematics #Medical Image Segmentation Techniques #Minification #Optimization and Control (math.OC) #Regular polygon #Robotics and Sensor-Based Localization #Statistics #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques #Stochastic approximation #Stochastic optimization #Stochastic ordering #Stochastic process #math.OC #math.ST #stat.TH
- Robust Volume Minimization-Based Matrix Factorization for Remote Sensing and Document Clustering
2016/08/15 by Xiao Fu, Kejun Huang, Bo Yang +3 · 3 citations
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Cluster analysis #Computer science #Data mining #Eigenvalues and eigenvectors #Hyperspectral imaging #Identifiability #Image and Signal Denoising Methods #Machine learning #Mathematical optimization #Mathematics #Matrix (chemical analysis) #Matrix decomposition #Minification #Non-negative matrix factorization #Outlier #Remote-Sensing Image Classification #Sparse and Compressive Sensing Techniques #stat.ML
- Training Recurrent Answering Units with Joint Loss Minimization for VQA
2016/06/12 by Hyeonwoo Noh, Bohyung Han, Noh, Hyeonwoo +1 · 18 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial intelligence #Artificial neural network #Backpropagation #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #Feature (linguistics) #Machine learning #Minification #Multimodal Machine Learning Applications #Overfitting #Question answering #Recurrent neural network #cs.CV
- Bounded perturbation resilience of projected scaled gradient methods
2015/07/27 by Weiwei Jin, W. Jin, Y. Censor +6 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Algorithm #Applied mathematics #Artificial intelligence #Bounded function #Computer science #Constraint (computer-aided design) #Convergence (economics) #Convex optimization #Diagonal #FOS: Mathematics #Geometry #Gradient descent #Mathematical analysis #Mathematical optimization #Mathematics #Maximization #Minification #Optimization and Control (math.OC) #Optimization and Variational Analysis #Perturbation (astronomy) #Projection (relational algebra) #Proximal Gradient Methods #Regular polygon #Sparse and Compressive Sensing Techniques #math.OC
- The Hidden Convexity of Spectral Clustering
2014/03/04 by James Voss, Mikhail Belkin, Voss, James +4 · 1 citation
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Basis (linear algebra) #Blind Source Separation Techniques #Cluster analysis #Computer science #Convex function #Convex optimization #Convexity #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical optimization #Mathematics #Minification #Optimization problem #Regular polygon #Sparse and Compressive Sensing Techniques #Spectral clustering #cs.LG #stat.ML
- Learning Sparsely Used Overcomplete Dictionaries via Alternating\n Minimization
2013/10/29 by Alekh Agarwal, Animashree Anandkumar, Agarwal, Alekh +5 · 4 citations
Computer Science · Engineering · Mathematics · #Algorithm #Applied mathematics #Artificial intelligence #Computer science #Convergence (economics) #Dictionary learning #FOS: Computer and information sciences #FOS: Mathematics #Heuristic #K-SVD #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM #Mathematical optimization #Mathematics #Minification #Neural coding #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Sparse approximation #cs.LG #math.OC #stat.ML
- Proximal alternating linearized minimization for nonconvex and nonsmooth problems
2013/07/25 by Jérôme Bolte, Shoham Sabach, Marc Teboulle · 272 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Applied mathematics #Bounded function #Class (philosophy) #Computer science #Convergence (economics) #Convexity #Mathematical analysis #Mathematical optimization #Mathematics #Minification #Optimization and Variational Analysis #Property (philosophy) #Sequence (biology) #Sparse and Compressive Sensing Techniques #Variety (cybernetics)
- Symmetry-adapted Wannier functions in the maximal localization procedure
2013/05/31 by R. Sakuma, Rei Sakuma · 2 citations
Engineering · Materials Science · Mathematics · Physics and Astronomy · #Acoustic Wave Resonator Technologies #Function (biology) #Geometry #Mathematical analysis #Mathematics #Minification #Nonlinear Optical Materials Research #Physics #Quantum mechanics #Scheme (mathematics) #Symmetry (geometry) #Terahertz technology and applications #Wannier function #cond-mat.str-el
- Average complexity of Moore’s and Hopcroft’s algorithms
2011/11/05 by Julien David · 1 citation
Computer Science · Mathematics · #Advanced Algebra and Logic #Algorithm #Alphabet #Automaton #Computer science #Discrete mathematics #Implementation #Machine Learning and Algorithms #Mathematical optimization #Mathematics #Minification #State (computer science) #Theoretical computer science #semigroups and automata theory
- Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization”
2011/11/01 by José Luis Morales, Jorge Nocedal · 23 citations
Computer Science · Engineering · Mathematics · #Advanced Control Systems Optimization #Advanced Optimization Algorithms Research #Algorithm #Artificial intelligence #Broyden–Fletcher–Goldfarb–Shanno algorithm #Computer science #Fortran #Mathematical optimization #Mathematics #Minification #Numerical Methods and Algorithms #Scale (ratio) #Simple (philosophy) #Subroutine #Subspace topology
- A proximal method for composite minimization
2008/12/02 by Adrian S. Lewis, Stephen J. Wright, Lewis, A. S. +1 · 9 citations
Computer Science · Engineering · Mathematics · #49M37 #90C30 #Advanced Optimization Algorithms Research #Applied mathematics #Artificial intelligence #Computer science #Convergence (economics) #Convex function #Convex optimization #Engineering #FOS: Mathematics #Manifold (fluid mechanics) #Mathematical optimization #Mathematics #Minification #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Property (philosophy) #Regular polygon #Regularization (linguistics) #Sparse and Compressive Sensing Techniques #Variety (cybernetics)
- A novel pole figure inversion method: specification of theMTEXalgorithm
2008/11/14 by Ralf Hielscher, R. Hielscher, H. Schaeben +1 · 37 citations
Materials Science · Mathematics · Physics and Astronomy · #Advanced X-ray Imaging Techniques #Algorithm #Artificial intelligence #Computer science #Diffraction #Diffraction tomography #Discretization #Fast Fourier transform #Fourier analysis #Fourier transform #Geology #Geometry #Inversion (geology) #Mathematical analysis #Mathematics #Minification #Nuclear Physics and Applications #Optics #Orientation (vector space) #Physics #Resolution (logic) #Software #X-ray Diffraction in Crystallography
- Greedy function approximation: A gradient boosting machine.
2001/10/01 by Jerome H. Friedman · 601 citations
Computer Science · Mathematics · Physics and Astronomy · #Applied mathematics #Artificial intelligence #Artificial neural network #Boosting (machine learning) #Computer science #Gradient boosting #Gradient descent #Logistic regression #Machine Learning and Algorithms #Mathematical optimization #Mathematics #Minification #Model Reduction and Neural Networks #Neural Networks and Applications #Random forest #Regression #Statistics
- Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization
2001/06/01 by P. Tseng · 216 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Algorithm #Applied mathematics #Block (permutation group theory) #Combinatorics #Compact space #Convergence (economics) #Coordinate descent #Function (biology) #Iterated function #Mathematical analysis #Mathematical optimization #Mathematics #Minification #Sparse and Compressive Sensing Techniques #Stationary point #Stochastic Gradient Optimization Techniques #Subsequence #Theory of computation
- CLASSIFICATION OF CONSTRAINTS USING THE CHAIN-BY-CHAIN METHOD
2000/03/31 by F Loran, F. LORAN, A Shirzad +1 · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Algebra over a field #Algebraic structures and combinatorial models #Constraint (computer-aided design) #Constraint algebra #Constraint satisfaction #Homotopy and Cohomology in Algebraic Topology #Minification #Polynomial and algebraic computation #Symplectic geometry #hep-th
- Optimal Control of Thermally Convected Fluid Flows
1998/11/01 by K. Ito, Kazufumi Ito, S. S. Ravindran · 1 citation
Engineering · Mathematics · #Advanced Numerical Methods in Computational Mathematics #Applied mathematics #Boundary (topology) #Boundary value problem #Computational fluid dynamics #Computer science #Control (management) #Control theory (sociology) #Convection #Fluid dynamics #Geometry #Mathematical analysis #Mathematical optimization #Mathematics #Mechanics #Minification #Navier-Stokes equation solutions #Numerical analysis #Optimal control #Physics #Point (geometry) #Stability and Controllability of Differential Equations #Thermal
- Lagrange Multipliers and Optimality
1993/06/01 by R. Tyrrell Rockafellar, R. T. Rockafellar · 34 citations
Computer Science · Mathematics · #Advanced Optimization Algorithms Research #Applied mathematics #Constraint algorithm #Geometry #Lagrange multiplier #Mathematical optimization #Mathematics #Matrix Theory and Algorithms #Minification #Multiplier (economics) #Optimization and Variational Analysis #Tangent
- Splitting Algorithms for the Sum of Two Nonlinear Operators
1979/12/01 by Pierre‐Louis Lions, P. L. Lions, B. Mercier +1 · 251 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Aerospace Engineering and Control Systems #Algorithm #Applied mathematics #Computation #Convergence (economics) #Linear operators #Mathematical analysis #Mathematical optimization #Mathematics #Minification #Monotone polygon #Nonlinear system #Operator splitting #Optimization and Variational Analysis
- I-Divergence Geometry of Probability Distributions and Minimization Problems
1975/02/01 by Imre Csiszár · 18 citations
Physics and Astronomy · Mathematics · #Statistical Mechanics and Entropy #Advanced Statistical Methods and Models #Mathematical Inequalities and Applications #Mathematics #Lagrange multiplier #Euclidean geometry #Divergence (linguistics) #Regular polygon #Generalization #Minification #Kullback–Leibler divergence #Convergence (economics) #Geometric probability #Multiplier (economics) #Combinatorics #Applied mathematics #Mathematical analysis #Mathematical optimization #Geometry #Statistics
- Conditioning of quasi-Newton methods for function minimization
1970/01/01 by David F. Shanno, D. F. Shanno · 194 citations
Computer Science · Mathematics · #Advanced Optimization Algorithms Research #Applied mathematics #Function (biology) #Hessian matrix #Inverse #Iterative Methods for Nonlinear Equations #Mathematical optimization #Mathematics #Matrix Theory and Algorithms #Minification #Newton's method #Quasi-Newton method #Scalar (mathematics) #Sequence (biology)
- Minimization of functions having Lipschitz continuous first partial derivatives
1966/01/01 by Larry Armijo · 12 citations
Computer Science · Mathematics · #Lipschitz continuity #Lipschitz domain #Mathematical optimization #Mathematics #Minification #Optimization and Variational Analysis #Pure mathematics
- A Simplex Method for Function Minimization
1965/01/01 by J. A. Nelder, R. Mead · 613 citations
Engineering · Mathematics · Physics and Astronomy · #Algorithm #Applied mathematics #Combinatorics #Computer science #Control Systems and Identification #Function (biology) #Graph #Hessian matrix #Linear programming #Mathematical analysis #Mathematical optimization #Mathematics #Minification #Neighbourhood (mathematics) #Scientific Research and Discoveries #Simplex #Simplex algorithm #Statistical and numerical algorithms #Vertex (graph theory)