Publications associées à Approximate dynamic programming via sum of squares programming

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A first-order primal-dual method with adaptivity to local smoothness

Volkan Cevher, Maria-Luiza Vladarean

We consider the problem of finding a saddle point for the convex-concave objective

\min_x \max_y f(x) + \langle Ax, y\rangle - g^*(y)

, where

f

is a convex function with locally Lipschitz gradient and

g

is convex and possibly non-smooth. We propose an ...

2021

Approximate dynamic programming via sum of squares programming

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Learning to Remove Cuts in Integer Linear Programming

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

Dynamically Orthogonal Approximation for Stochastic Differential Equations

On The Convergence Of Stochastic Primal-Dual Hybrid Gradient

Quadratic serendipity element shape functions on general planar polygons

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

Proximal Point Imitation Learning

A smooth basis for atomistic machine learning

A first-order primal-dual method with adaptivity to local smoothness

Augmented Lagrangian Methods for Provable and Scalable Machine Learning

Learning to Remove Cuts in Integer Linear Programming

On The Convergence Of Stochastic Primal-Dual Hybrid Gradient

A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

A first-order primal-dual method with adaptivity to local smoothness

Dynamically Orthogonal Approximation for Stochastic Differential Equations

Quadratic serendipity element shape functions on general planar polygons

A smooth basis for atomistic machine learning

A convex set of robust D—stabilizing controllers using Cauchy's argument principle

Proximal Point Imitation Learning