Cover Image

Anisotropic Proximal Point Algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Laude, Emanuel, Patrinos, Panagiotis
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Anisotropic Proximal Gradient
by: Laude, Emanuel, et al.
Published: (2022)

Global Convergence Analysis of the Power Proximal Point and Augmented Lagrangian Method
by: Oikonomidis, Konstantinos A., et al.
Published: (2023)

Dualities for non-Euclidean smoothness and strong convexity under the light of generalized conjugacy
by: Laude, Emanuel, et al.
Published: (2021)

On the Regularity of Generalized Conjugate Functions
by: Oikonomidis, Konstantinos, et al.
Published: (2026)

Forward-backward splitting under the light of generalized convexity
by: Oikonomidis, Konstantinos, et al.
Published: (2025)

Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness
by: Oikonomidis, Konstantinos, et al.
Published: (2025)

All roads lead to Rome: Path-following Augmented Lagrangian Methods via Bregman Proximal Regularization
by: Laude, Emanuel
Published: (2026)

The inexact power augmented Lagrangian method for constrained nonconvex optimization
by: Bodard, Alexander, et al.
Published: (2024)

Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
by: Rotaru, Teodor, et al.
Published: (2025)

Risk-Sensitive Model Predictive Control for Interaction-Aware Planning -- A Sequential Convexification Algorithm
by: Wang, Renzi, et al.
Published: (2025)

Escaping saddle points without Lipschitz smoothness: the power of nonlinear preconditioning
by: Bodard, Alexander, et al.
Published: (2025)

Newton methods beyond Hessian Lipschitz continuity: A nonlinear preconditioning approach
by: Bodard, Alexander, et al.
Published: (2026)

Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm
by: Rotaru, Teodor, et al.
Published: (2025)

Probabilistic Safety under Arbitrary Disturbance Distributions using Piecewise-Affine Control Barrier Functions
by: Teuwen, Matisse, et al.
Published: (2025)

Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
by: Oikonomidis, Konstantinos, et al.
Published: (2025)

Exact worst-case convergence rates of gradient descent: a complete analysis for all constant stepsizes over nonconvex and convex functions
by: Rotaru, Teodor, et al.
Published: (2024)

Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization
by: Bodard, Alexander, et al.
Published: (2025)

Improved convergence rates for the Difference-of-Convex algorithm
by: Rotaru, Teodor, et al.
Published: (2024)

Adaptive proximal gradient methods are universal without approximation
by: Oikonomidis, Konstantinos A., et al.
Published: (2024)

Parametric Nonconvex Optimization via Convex Surrogates
by: Wang, Renzi, et al.
Published: (2026)

Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations
by: Pas, Pieter, et al.
Published: (2025)

EM++: A parameter learning framework for stochastic switching systems
by: Wang, Renzi, et al.
Published: (2024)

Scaled relative graphs for pairs of operators beyond classical monotonicity
by: Quan, Jan, et al.
Published: (2025)

Rethinking PCA Through Duality
by: Quan, Jan, et al.
Published: (2025)

Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation
by: Allamaa, Jean Pierre, et al.
Published: (2024)

Convergence of the Preconditioned Proximal Point Method and Douglas-Rachford Splitting in the Absence of Monotonicity
by: Evens, Brecht, et al.
Published: (2023)

Explicit Convergence Rate of The Proximal Point Algorithm under R-Continuity
by: Le, Ba Khiet, et al.
Published: (2024)

Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)

Anderson Accelerated Feasible Sequential Linear Programming
by: Kiessling, David, et al.
Published: (2022)

Nonlinearly preconditioned gradient flows
by: Oikonomidis, Konstantinos, et al.
Published: (2025)

Inexact Proximal Point and Tseng Algorithms with Nonsummable Errors to Solve Monotone Inclusions
by: Le, Ba Khiet, et al.
Published: (2026)

Relaxed Proximal Point Algorithm: Tight Complexity Bounds and Acceleration without Momentum
by: Wang, Bofan, et al.
Published: (2024)

QPALM: A Proximal Augmented Lagrangian Method for Nonconvex Quadratic Programs
by: Hermans, Ben, et al.
Published: (2020)

An Efficient Mixed-Integer Formulation and an Iterative Method for Optimal Control of Switched Systems Under Dwell Time Constraints
by: Abbasi-Esfeden, Ramin, et al.
Published: (2025)

Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems
by: Ozaslan, Ibrahim K., et al.
Published: (2024)

Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning with a Use-Case in Resource Allocation in Communication Networks
by: Behmandpoor, Pourya, et al.
Published: (2023)

Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach
by: Wang, Renzi, et al.
Published: (2024)

Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control
by: Pas, Pieter, et al.
Published: (2022)

Cyqlone: A Parallel, High-Performance Linear Solver for Optimal Control
by: Pas, Pieter, et al.
Published: (2025)

Escaping Saddle Points for Nonsmooth Weakly Convex Functions via Perturbed Proximal Algorithms
by: Huang, Minhui, et al.
Published: (2021)