Differentiability and Approximation of Probability Functions under Gaussian Mixture Models: A Bayesian Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Contador, Gonzalo, Pérez-Aros, Pedro, Vilches, Emilio |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Projected Variable Smoothing for Weakly Convex Optimization and Supremum Functions
by: López-Rivera, Sergio, et al.
Published: (2025)
by: López-Rivera, Sergio, et al.
Published: (2025)
Strong Convergence of Relaxed Inertial Inexact Progressive Hedging Algorithm for Multi-stage Stochastic Variational Inequality Problems
by: Chen, Jiaxin, et al.
Published: (2024)
by: Chen, Jiaxin, et al.
Published: (2024)
Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization
by: Carlon, Andre, et al.
Published: (2022)
by: Carlon, Andre, et al.
Published: (2022)
Stochastic optimization over proximally smooth sets
by: Davis, Damek, et al.
Published: (2020)
by: Davis, Damek, et al.
Published: (2020)
On the role of semismoothness in nonsmooth numerical analysis: Theory
by: Gfrerer, H., et al.
Published: (2024)
by: Gfrerer, H., et al.
Published: (2024)
On the role of semismoothness in the implicit programming approach to selected nonsmooth optimization problems
by: Gfrerer, Helmut, et al.
Published: (2024)
by: Gfrerer, Helmut, et al.
Published: (2024)
Nonsmooth Projection-Free Optimization with Functional Constraints
by: Asgari, Kamiar, et al.
Published: (2023)
by: Asgari, Kamiar, et al.
Published: (2023)
ASPEN: An Additional Sampling Penalty Method for Finite-Sum Optimization Problems with Nonlinear Equality Constraints
by: Krejić, Nataša, et al.
Published: (2025)
by: Krejić, Nataša, et al.
Published: (2025)
Randomized block proximal method with locally Lipschitz continuous gradient
by: Pérez-Aros, Pedro, et al.
Published: (2025)
by: Pérez-Aros, Pedro, et al.
Published: (2025)
On circumcentered direct methods for monotone variational inequality problems
by: Behling, Roger, et al.
Published: (2025)
by: Behling, Roger, et al.
Published: (2025)
A Two Stepsize SQP Method for Nonlinear Equality Constrained Stochastic Optimization
by: O'Neill, Michael J.
Published: (2024)
by: O'Neill, Michael J.
Published: (2024)
Complexity of an inexact stochastic SQP algorithm for equality constrained optimization
by: O'Neill, Michael J., et al.
Published: (2026)
by: O'Neill, Michael J., et al.
Published: (2026)
Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)
by: Briceño-Arias, Luis, et al.
Published: (2024)
Stochastic Approach for Price Optimization Problems with Decision-dependent Uncertainty
by: Hikima, Yuya, et al.
Published: (2023)
by: Hikima, Yuya, et al.
Published: (2023)
Curves of Minimax Curvature
by: Kaya, C. Yalçın, et al.
Published: (2024)
by: Kaya, C. Yalçın, et al.
Published: (2024)
New Classes of Non-monotone Variational Inequality Problems Solvable via Proximal Gradient on Smooth Gap Functions
by: Zhao, Lei, et al.
Published: (2025)
by: Zhao, Lei, et al.
Published: (2025)
Resolvent Moreau identities without monotonicity: theory and applications to Gabay duality, Douglas--Rachford and ADMM
by: Calcan, Andrew, et al.
Published: (2026)
by: Calcan, Andrew, et al.
Published: (2026)
A fresh look into variational analysis of $\mathcal C^2$-partly smooth functions
by: Hang, Nguyen T. V., et al.
Published: (2024)
by: Hang, Nguyen T. V., et al.
Published: (2024)
Sharp bounds in perturbed smooth optimization
by: Spokoiny, Vladimir
Published: (2025)
by: Spokoiny, Vladimir
Published: (2025)
Preconditioned subgradient method for composite optimization: overparameterization and fast convergence
by: Díaz, Mateo, et al.
Published: (2025)
by: Díaz, Mateo, et al.
Published: (2025)
Bivariate rational approximations of the general temperature integral
by: Aghili, Alireza, et al.
Published: (2024)
by: Aghili, Alireza, et al.
Published: (2024)
Monomial barrier functions for the box-constrained convex optimization problems
by: Fayed, Hatem
Published: (2024)
by: Fayed, Hatem
Published: (2024)
An inertial proximal splitting algorithm for hierarchical bilevel equilibria in Hilbert spaces
by: Balhag, Aicha, et al.
Published: (2025)
by: Balhag, Aicha, et al.
Published: (2025)
Gradient descent with adaptive stepsize converges (nearly) linearly under fourth-order growth
by: Davis, Damek, et al.
Published: (2024)
by: Davis, Damek, et al.
Published: (2024)
Strong convergence towards the minimum norm solution via temporal scaling and Tikhonov approximation of a first-order dynamical system
by: Bagy, A. C., et al.
Published: (2024)
by: Bagy, A. C., et al.
Published: (2024)
Convergence of Descent Optimization Algorithms under Polyak-Łojasiewicz-Kurdyka Conditions
by: Bento, G. C., et al.
Published: (2024)
by: Bento, G. C., et al.
Published: (2024)
An Inexact Regularized Proximal Newton Method without Line Search
by: Dahl, Simeon vom, et al.
Published: (2024)
by: Dahl, Simeon vom, et al.
Published: (2024)
Technical results on the convergence of quasi-Newton methods for nonsmooth optimization
by: Gebken, Bennet
Published: (2025)
by: Gebken, Bennet
Published: (2025)
Implicit augmented Lagrangian and generalized optimization
by: De Marchi, Alberto
Published: (2023)
by: De Marchi, Alberto
Published: (2023)
A Sequential Quadratic Programming Method for Optimization with Stochastic Objective Functions, Deterministic Inequality Constraints and Robust Subproblems
by: Qiu, Songqiang, et al.
Published: (2023)
by: Qiu, Songqiang, et al.
Published: (2023)
An investigation of stochastic trust-region based algorithms for finite-sum minimization
by: Bellavia, Stefania, et al.
Published: (2024)
by: Bellavia, Stefania, et al.
Published: (2024)
A Regression-Based Prediction-Correction Method for Stochastic Time-Varying Optimization Problems
by: Kamijima, Tomoya, et al.
Published: (2025)
by: Kamijima, Tomoya, et al.
Published: (2025)
Stochastic Block Bregman Projection with Polyak-like Stepsize for Possibly Inconsistent Convex Feasibility Problems
by: Zhang, Lu, et al.
Published: (2026)
by: Zhang, Lu, et al.
Published: (2026)
Inexact Restoration via random models for unconstrained noisy optimization
by: Morini, Benedetta, et al.
Published: (2024)
by: Morini, Benedetta, et al.
Published: (2024)
Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization
by: Marumo, Naoki
Published: (2025)
by: Marumo, Naoki
Published: (2025)
Inexact Riemannian Gradient Descent Method for Nonconvex Optimization
by: Zhou, Juan, et al.
Published: (2024)
by: Zhou, Juan, et al.
Published: (2024)
Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies
by: Roith, Tim, et al.
Published: (2025)
by: Roith, Tim, et al.
Published: (2025)
Lossless Convexification for Linear Systems with Piecewise Linear Controls
by: Kiami, Shosuke
Published: (2024)
by: Kiami, Shosuke
Published: (2024)
The Performance of MBFGS with Different Inexact Line Search Rule
by: Sahu, Manish Kumar, et al.
Published: (2022)
by: Sahu, Manish Kumar, et al.
Published: (2022)
Nonlinear conjugate gradient for smooth convex functions
by: Karimi, Sahar, et al.
Published: (2021)
by: Karimi, Sahar, et al.
Published: (2021)
Similar Items
-
A Projected Variable Smoothing for Weakly Convex Optimization and Supremum Functions
by: López-Rivera, Sergio, et al.
Published: (2025) -
Strong Convergence of Relaxed Inertial Inexact Progressive Hedging Algorithm for Multi-stage Stochastic Variational Inequality Problems
by: Chen, Jiaxin, et al.
Published: (2024) -
Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization
by: Carlon, Andre, et al.
Published: (2022) -
Stochastic optimization over proximally smooth sets
by: Davis, Damek, et al.
Published: (2020) -
On the role of semismoothness in nonsmooth numerical analysis: Theory
by: Gfrerer, H., et al.
Published: (2024)