Faculty

Institution

Unit

Venue

Pablo A. Parrilo

Joseph F and Nancy P Keithley Professor

Massachusetts Institute of Technology

Affiliations

MIT Schwarzman College of Computing

Data, Systems, and Society

School of Engineering

Electrical Engineering and Computer Science

Medical Engineering and Science

School of Science

Mathematics

Pablo A. Parrilo is currently serving as a Data, Systems, And Society Joseph F and Nancy P Keithley Professor at Massachusetts Institute of Technology.

Honors

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Experiences

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Education

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Pablo A. Parrilo

Massachusetts Institute of Technology

Joseph F and Nancy P Keithley Professor

You can click a keyword to filter the displayed items

applied mathematics mathematical optimization systems engineering computer science automatic control mathematical programming control systems graph theory machine learning game theory control science control optimization computational optimization semidefinite programming electrical engineering stability linear algebra mathematical control theory convex optimization joint spectral radius approximation theory applied algebra computational mathematics matrix theory stability analysis timefrequency analysis near-potential games spectral theory control engineering model predictive control matrix analysis lyapunov analysis convex algebraic geometry convex sets convergence rate nonnegative rank atomic spectroscopy engineering optimization economic behavior combinatorial theory combinatorial optimization system stability computability theory robust control optimization problems quadratic programming parameter identification adaptive optimization semidefinite programming relaxations semidefinite optimization complete family separability criteria semidefinite programs sos programming contraction metrics algebraic optimization rational coefficients equivalent sdps mathematical sciences quantum science network optimization constrained optimization robust optimization robustness (computer science) foundation of mathematics graphical models abstract algebra separation science nonlinear control control management power control ranking algorithms failure analysis semi-definite optimization numerical linear algebra

Notable Scholarly Works

Notable Federal Grants

Collaborators

Acceleration by Stepsize Hedging: Multi-Step Descent and the Silver Stepsize Schedule. Journal of the ACM (2024)

Jason AltschulerPablo Parrilo

computational optimizationsilver stepsize schedulemulti-step descentstepsize hedgingcomputer science

Acceleration by Stepsize Hedging: Silver Stepsize Schedule for Smooth Convex Optimization. Mathematical Programming (2024)

Jason M. AltschulerPablo A. Parrilo

mathematical programmingmathematical optimizationoptimization problemsstepsize hedgingconvex optimizationsmooth convex optimizationapplied mathematics

Shortest Paths in Graphs of Convex Sets. SIAM Journal on Optimization (2024)

Tobia MarcucciJack UmenbergerPablo ParriloRuss Tedrake

mathematical optimizationgraph theoryshortest pathsconvex setsapplied mathematics

Towards Tight Convex Relaxations for Contact-Rich Manipulation. arXiv (Cornell University) (2024)

Bernhard GraesdalShao ChiaTobia MarcucciSavva MorozovAlexandre AmicePablo ParriloRuss Tedrake

contact-rich manipulationconvex relaxationsapplied mathematics

Kernel Approximation on Algebraic Varieties. SIAM Journal on Applied Algebra and Geometry (2023)

Jason M. AltschulerPablo A. Parrilo

kernel approximationalgebraic varietiesapplied mathematicsalgebraic geometryapplied algebramathematics

Low-Rank Univariate Sum of Squares Has No Spurious Local Minima. SIAM Journal on Optimization (2023)

Benoît LegatChenyang YuanPablo Parrilo

computational optimizationmathematical optimizationspurious local minimaapplied mathematicsmachine learninglow-rank univariate sum

Approximating Min-Mean-Cycle for Low-Diameter Graphs in Near-Optimal Time and Memory. SIAM Journal on Optimization (2022)

Jason M. AltschulerPablo A. Parrilo

mathematical optimizationgraph theorynear-optimal timeapplied mathematicslow-diameter graphsmemory

Lifting for Simplicity: Concise Descriptions of Convex Sets. SIAM Review (2022)

Hamza FawziJoao GouveiaPablo A. ParriloJames SaundersonRekha R. Thomas

concise descriptionsgraph theoryconvex setsapplied mathematics

Near-Linear Convergence of the Random Osborne Algorithm for Matrix Balancing. Mathematical Programming (2022)

Jason M. AltschulerPablo A. Parrilo

random osborne algorithmmathematical programmingnear-linear convergenceapplied mathematicsmatrix balancing

On Approximations of the Psd Cone by a Polynomial Number of Smaller-Sized Psd Cones. Mathematical Programming (2022)

Dogyoon SongPablo A. Parrilo

mathematical programmingapproximation theorypsd coneapplied mathematics

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Pablo A. Parrilo

Joseph F and Nancy P Keithley Professor

Massachusetts Institute of Technology

Affiliations

MIT Schwarzman College of Computing

Data, Systems, and Society

School of Engineering

Electrical Engineering and Computer Science

Medical Engineering and Science

School of Science

Mathematics

Pablo A. Parrilo is currently serving as a Data, Systems, And Society Joseph F and Nancy P Keithley Professor at Massachusetts Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Pablo A. Parrilo

Massachusetts Institute of Technology

Joseph F and Nancy P Keithley Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Acceleration by Stepsize Hedging: Multi-Step Descent and the Silver Stepsize Schedule. Journal of the ACM (2024)

Jason AltschulerPablo Parrilo

computational optimizationsilver stepsize schedulemulti-step descentstepsize hedgingcomputer science

Acceleration by Stepsize Hedging: Silver Stepsize Schedule for Smooth Convex Optimization. Mathematical Programming (2024)

Jason M. AltschulerPablo A. Parrilo

mathematical programmingmathematical optimizationoptimization problemsstepsize hedgingconvex optimizationsmooth convex optimizationapplied mathematics

Shortest Paths in Graphs of Convex Sets. SIAM Journal on Optimization (2024)

Tobia MarcucciJack UmenbergerPablo ParriloRuss Tedrake

mathematical optimizationgraph theoryshortest pathsconvex setsapplied mathematics

Towards Tight Convex Relaxations for Contact-Rich Manipulation. arXiv (Cornell University) (2024)

Bernhard GraesdalShao ChiaTobia MarcucciSavva MorozovAlexandre AmicePablo ParriloRuss Tedrake

contact-rich manipulationconvex relaxationsapplied mathematics

Kernel Approximation on Algebraic Varieties. SIAM Journal on Applied Algebra and Geometry (2023)

Jason M. AltschulerPablo A. Parrilo

kernel approximationalgebraic varietiesapplied mathematicsalgebraic geometryapplied algebramathematics

Low-Rank Univariate Sum of Squares Has No Spurious Local Minima. SIAM Journal on Optimization (2023)

Benoît LegatChenyang YuanPablo Parrilo

computational optimizationmathematical optimizationspurious local minimaapplied mathematicsmachine learninglow-rank univariate sum

Approximating Min-Mean-Cycle for Low-Diameter Graphs in Near-Optimal Time and Memory. SIAM Journal on Optimization (2022)

Jason M. AltschulerPablo A. Parrilo

mathematical optimizationgraph theorynear-optimal timeapplied mathematicslow-diameter graphsmemory

Lifting for Simplicity: Concise Descriptions of Convex Sets. SIAM Review (2022)

Hamza FawziJoao GouveiaPablo A. ParriloJames SaundersonRekha R. Thomas

concise descriptionsgraph theoryconvex setsapplied mathematics

Near-Linear Convergence of the Random Osborne Algorithm for Matrix Balancing. Mathematical Programming (2022)

Jason M. AltschulerPablo A. Parrilo

random osborne algorithmmathematical programmingnear-linear convergenceapplied mathematicsmatrix balancing

On Approximations of the Psd Cone by a Polynomial Number of Smaller-Sized Psd Cones. Mathematical Programming (2022)

Dogyoon SongPablo A. Parrilo

mathematical programmingapproximation theorypsd coneapplied mathematics

1
2
3
4
5
20
10 / page

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applied mathematics

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