Coralia Cartis

Q: What Schools Are Affiliated With Coralia Cartis

Coralia Cartis is affiliated with the following schools: University of Oxford, Babeș-Bolyai University, University of Edinburgh, University of Bucharest, University of Cambridge

Coralia Cartis's AcademicInfluence.com Rankings

Coralia Cartis

Mathematics

#4170

World Rank

#5979

Historical Rank

Measure Theory

#3543

World Rank

#4183

Historical Rank

mathematics Degrees

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Mathematics

Coralia Cartis's Degrees

PhD Mathematics University of Bucharest

Why Is Coralia Cartis Influential?

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According to Wikipedia, Coralia Cartis is a Romanian mathematician at the University of Oxford whose research interests include compressed sensing, numerical analysis, and regularisation methods in mathematical optimization. At Oxford, she is a Professor in Numerical Optimization in the Mathematical Institute, and a tutorial fellow of Balliol College.

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Coralia Cartis's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Adaptive cubic regularisation methods for unconstrained optimization. Part I: motivation, convergence and numerical results (2011) (336)
Adaptive cubic regularisation methods for unconstrained optimization. Part II: worst-case function- and derivative-evaluation complexity (2011) (296)
On the Complexity of Steepest Descent, Newton's and Regularized Newton's Methods for Nonconvex Unconstrained Optimization Problems (2010) (234)
Erratum to: ``Global rates of convergence for nonconvex optimization on manifolds'' (2016) (222)
Compressed Sensing: How Sharp Is the Restricted Isometry Property? (2010) (166)
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models (2015) (118)
On the Evaluation Complexity of Composite Function Minimization with Applications to Nonconvex Nonlinear Programming (2011) (102)
Complexity bounds for second-order optimality in unconstrained optimization (2012) (99)
Improving the Flexibility and Robustness of Model-based Derivative-free Optimization Solvers (2018) (87)
An adaptive cubic regularization algorithm for nonconvex optimization with convex constraints and its function-evaluation complexity (2012) (85)
Convergence Rate Analysis of a Stochastic Trust-Region Method via Supermartingales (2016) (79)
Phase Transitions for Greedy Sparse Approximation Algorithms (2010) (65)
Adaptive cubic overestimation methods for unconstrained optimization (2007) (63)
On the complexity of finding first-order critical points in constrained nonlinear optimization (2014) (58)
On the Oracle Complexity of First-Order and Derivative-Free Algorithms for Smooth Nonconvex Minimization (2012) (56)
On the Evaluation Complexity of Cubic Regularization Methods for Potentially Rank-Deficient Nonlinear Least-Squares Problems and Its Relevance to Constrained Nonlinear Optimization (2013) (52)
Convergence of a Regularized Euclidean Residual Algorithm for Nonlinear Least-Squares (2010) (48)
Universal Regularization Methods: Varying the Power, the Smoothness and the Accuracy (2018) (45)
A derivative-free Gauss–Newton method (2017) (43)
Second-Order Optimality and Beyond: Characterization and Evaluation Complexity in Convexly Constrained Nonlinear Optimization (2018) (42)
A New and Improved Quantitative Recovery Analysis for Iterative Hard Thresholding Algorithms in Compressed Sensing (2013) (40)
Convergence Rate Analysis of a Stochastic Trust Region Method for Nonconvex Optimization (2016) (40)
WORST-CASE EVALUATION COMPLEXITY AND OPTIMALITY OF SECOND-ORDER METHODS FOR NONCONVEX SMOOTH OPTIMIZATION (2017) (38)
Trust-region and other regularisations of linear least-squares problems (2009) (37)
Adaptive regularization with cubics on manifolds (2018) (35)
Adaptive cubic overestimation methods for unconstrained optimization. Part I: motivation, convergence and numerical results (2008) (35)
Evaluation complexity of adaptive cubic regularization methods for convex unconstrained optimization (2012) (35)
Some disadvantages of a Mehrotra-type primal-dual corrector interior point algorithm for linear programming (2009) (31)
On the Evaluation Complexity of Constrained Nonlinear Least-Squares and General Constrained Nonlinear Optimization Using Second-Order Methods (2015) (30)
Sharp worst-case evaluation complexity bounds for arbitrary-order nonconvex optimization with inexpensive constraints (2018) (28)
Can Top-of-Atmosphere Radiation Measurements Constrain Climate Predictions? Part II: Climate Sensitivity (2013) (27)
Finding a point in the relative interior of a polyhedron (2007) (26)
Decay Properties of Restricted Isometry Constants (2009) (25)
Optimal Newton-type methods for nonconvex smooth optimization problems (2011) (25)
Escaping local minima with derivative-free methods: a numerical investigation (2018) (23)
Improved second-order evaluation complexity for unconstrained nonlinear optimization using high-order regularized models (2017) (23)
Can Top-of-Atmosphere Radiation Measurements Constrain Climate Predictions? Part I: Tuning (2013) (22)
Worst-case evaluation complexity of non-monotone gradient-related algorithms for unconstrained optimization (2015) (22)
An Exact Tree Projection Algorithm for Wavelets (2013) (21)
Optimality of orders one to three and beyond: characterization and evaluation complexity in constrained nonconvex optimization (2017) (18)
Calibrating climate models using inverse methods: case studies with HadAM3, HadAM3P and HadCM3 (2017) (17)
Branching and bounding improvements for global optimization algorithms with Lipschitz continuity properties (2015) (17)
Worst-case evaluation complexity of regularization methods for smooth unconstrained optimization using Hölder continuous gradients (2017) (16)
Scalable subspace methods for derivative-free nonlinear least-squares optimization (2021) (16)
THE RESTRICTED ISOMETRY PROPERTY AND ` Q-REGULARIZATION : PHASE TRANSITIONS FOR SPARSE APPROXIMATION (2009) (15)
Corrigendum: On the complexity of finding first-order critical points in constrained nonlinear optimization (2017) (12)
Evaluation Complexity Bounds for Smooth Constrained Nonlinear Optimization Using Scaled KKT Conditions and High-Order Models (2019) (12)
How much patience do you have? A worst-case perspective on smooth nonconvex optimization (2012) (11)
COMPRESSED SENSING : HOW SHARP IS THE RIP ? (2009) (11)
Strong Evaluation Complexity Bounds for Arbitrary-Order Optimization of Nonconvex Nonsmooth Composite Functions (2020) (11)
A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality (2020) (11)
A concise second-order complexity analysis for unconstrained optimization using high-order regularized models (2019) (10)
On the Convergence of a Primal-Dual Second-0rder Corrector Interior Point Algorithm for Linear Programming (2005) (10)
Evaluation complexity bounds for smooth constrained nonlinear optimisation using scaled KKT conditions, high-order models and the criticality measure $χ$ (2017) (10)
Phase Transitions for Restricted Isometry Properties (2009) (9)
Improved worst-case evaluation complexity for potentially rank-deficient nonlinear least-Euclidean-norm problems using higher-order regularized models (2015) (8)
A note about the complexity of minimizing Nesterov's smooth Chebyshev–Rosenbrock function (2013) (7)
Escaping local minima with local derivative-free methods: a numerical investigation (2021) (7)
Adaptive regularization with cubics on manifolds with a first-order analysis (2018) (7)
Active-set prediction for interior point methods using controlled perturbations (2014) (6)
Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation and Perspectives (2022) (6)
Hashing embeddings of optimal dimension, with applications to linear least squares (2021) (6)
Strong Evaluation Complexity of An Inexact Trust-Region Algorithm for Arbitrary-Order Unconstrained Nonconvex Optimization. (2020) (5)
Bound-constrained global optimization of functions with low effective dimensionality using multiple random embeddings (2020) (5)
On the complexity of finding first-order critical points in constrained nonlinear optimization (2012) (4)
Randomised subspace methods for non-convex optimization, with applications to nonlinear least-squares (2022) (4)
Second-order optimality and beyond: characterization and evaluation complexity in nonconvex convexly-constrained optimization (2016) (4)
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares (2022) (4)
On the complexity of the steepest-descent with exact linesearches (2012) (3)
Adaptive cubic overestimation methods for unconstrained optimization . Part II : worst-case iteration complexity (2007) (3)
Quantitative Recovery Conditions for Tree-Based Compressed Sensing (2016) (3)
Data assimilation approach to analysing systems of ordinary differential equations (2018) (3)
Scalable Derivative-Free Optimization for Nonlinear Least-Squares Problems (2020) (3)
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models (2017) (3)
Global optimization using random embeddings (2021) (2)
A concise second-order evaluation complexity for unconstrained nonlinear optimization using high-order regularized models (2019) (2)
A derivative-free optimisation method for global ocean biogeochemical models (2021) (2)
Nonlinear matrix recovery using optimization on the Grassmann manifold (2021) (1)
A derivative-free Gauss–Newton method (2019) (1)
Convergent least-squares optimisation methods for variational data assimilation (2021) (1)
An example of slow convergence for Newton's method on a function with globally Lipschitz continuous Hessian (2013) (1)
On monotonic estimates of the norm of the minimizers of regularized quadratic functions in Krylov spaces (2019) (1)
Some Disadvantages of a Mehrotra-Type Primal-DualCorre tor Interior Point Algorithm for LinearProgrammingCoralia Cartis (2011) (0)
Obituary for Mike Powell (2015) (0)
Tuning The Sea-Ice Seasonal Cycle Of HadCM3: Can It Reproduce Observed Trends In Sea-Ice? (2015) (0)
CNV Convex and Nonsmooth Optimization DER Derivative-free and Simulation-based Optimization GLO Global Optimization MUL Multi-Objective and Vector Optimization NON Nonlinear Optimization PLA Optimization Applications in Mathematics of Planet Earth IMP Optimization Implementations and Software PDE PD (2019) (0)
Some New Results Concerning the Primal-Dual Path-Following Interior Point Algorithm for Linear Programming (2005) (0)
RAL-TR-2007-007 Adaptive cubic overestimation methods for unconstrained optimization (0)
Second-Order Optimality and Beyond: Characterization and Evaluation Complexity in Convexly Constrained Nonlinear Optimization (2017) (0)
Corrigendum: On the complexity of finding first-order critical points in constrained nonlinear optimization (2016) (0)
A new perspective on the complexity of interior point methods for linear programming (2007) (0)
Estimating climate sensitivity from an ensemble of GCM configurations optimized to outgoing TOA radiation (2014) (0)
Overview on parallel sessions / tentative schedule Version from 2019-0711 Cluster Shortcuts (2019) (0)
Constraining Climate Sensitivity using Top Of Atmosphere Radiation Measurements (2012) (0)
RAL-TR-2008-005 Trust-region and other regularisations of linear least-squares problems (2008) (0)
Branching and bounding improvements for global optimization algorithms with Lipschitz continuity properties (2014) (0)
Active-set prediction for interior point methods using controlled perturbations (2016) (0)
Corrigendum to “Nonlinear matrix recovery using optimization on the Grassmann manifold” [Appl. Comput. Harmon. Anal. 62 (2023) 498–542] (2023) (0)
Optimization Challenges in Data Science – Special Issue Editorial (2023) (0)
RAL-TR-2009-023 On the complexity of steepest descent , Newton ’ s method and regularized Newton methods for nonconvex unconstrained optimization (2009) (0)

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What Schools Are Affiliated With Coralia Cartis?

Coralia Cartis is affiliated with the following schools:

Coralia Cartis's Academic­Influence.com Rankings