Saved in:
| Main Authors: | Dagréou, Mathieu, Ablin, Pierre, Vaiter, Samuel, Moreau, Thomas |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2201.13409 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
by: Dagréou, Mathieu, et al.
Published: (2023)
by: Dagréou, Mathieu, et al.
Published: (2023)
Proximal basin hopping: global optimization with guarantees
by: Lauga, Guillaume, et al.
Published: (2026)
by: Lauga, Guillaume, et al.
Published: (2026)
Derivatives of Stochastic Gradient Descent in parametric optimization
by: Iutzeler, Franck, et al.
Published: (2024)
by: Iutzeler, Franck, et al.
Published: (2024)
Fairness-informed Pareto Optimization : An Efficient Bilevel Framework
by: Tanji, Sofiane, et al.
Published: (2026)
by: Tanji, Sofiane, et al.
Published: (2026)
Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
by: Bucarey, Víctor, et al.
Published: (2023)
by: Bucarey, Víctor, et al.
Published: (2023)
Geometric and computational hardness of bilevel programming
by: Bolte, Jérôme, et al.
Published: (2024)
by: Bolte, Jérôme, et al.
Published: (2024)
Variance reduction techniques for stochastic proximal point algorithms
by: Traoré, Cheik, et al.
Published: (2023)
by: Traoré, Cheik, et al.
Published: (2023)
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
by: Salehi, Mohammad Sadegh, et al.
Published: (2023)
by: Salehi, Mohammad Sadegh, et al.
Published: (2023)
Primal-dual algorithm for contextual stochastic combinatorial optimization
by: Bouvier, Louis, et al.
Published: (2025)
by: Bouvier, Louis, et al.
Published: (2025)
LancBiO: dynamic Lanczos-aided bilevel optimization via Krylov subspace
by: Yang, Yan, et al.
Published: (2024)
by: Yang, Yan, et al.
Published: (2024)
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
by: Ablin, Pierre, et al.
Published: (2023)
by: Ablin, Pierre, et al.
Published: (2023)
Online estimation of the inverse of the Hessian for stochastic optimization with application to universal stochastic Newton algorithms
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)
Faster Computation of Entropic Optimal Transport via Stable Low Frequency Modes
by: Chhaibi, Reda, et al.
Published: (2025)
by: Chhaibi, Reda, et al.
Published: (2025)
Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
by: Stollenwerk, Alexander, et al.
Published: (2024)
by: Stollenwerk, Alexander, et al.
Published: (2024)
Classification under strategic adversary manipulation using pessimistic bilevel optimisation
by: Benfield, David, et al.
Published: (2024)
by: Benfield, David, et al.
Published: (2024)
A stochastic smoothing framework for nonconvex-nonconcave min-sum-max problems with applications to Wasserstein distributionally robust optimization
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
A theoretical and empirical study of new adaptive algorithms with additional momentum steps and shifted updates for stochastic non-convex optimization
by: Alecsa, Cristian Daniel
Published: (2021)
by: Alecsa, Cristian Daniel
Published: (2021)
A stochastic gradient method for trilevel optimization
by: Giovannelli, Tommaso, et al.
Published: (2025)
by: Giovannelli, Tommaso, et al.
Published: (2025)
From Score Matching to Diffusion: A Fine-Grained Error Analysis in the Gaussian Setting
by: Hurault, Samuel, et al.
Published: (2025)
by: Hurault, Samuel, et al.
Published: (2025)
Instance-optimal stochastic convex optimization: Can we improve upon sample-average and robust stochastic approximation?
by: Jiang, Liwei, et al.
Published: (2026)
by: Jiang, Liwei, et al.
Published: (2026)
Non-convergence to global minimizers for Adam and stochastic gradient descent optimization and constructions of local minimizers in the training of artificial neural networks
by: Jentzen, Arnulf, et al.
Published: (2024)
by: Jentzen, Arnulf, et al.
Published: (2024)
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables
by: Brevault, Loic, et al.
Published: (2023)
by: Brevault, Loic, et al.
Published: (2023)
Whiteness-based bilevel learning of regularization parameters in imaging
by: Santambrogio, Carlo, et al.
Published: (2024)
by: Santambrogio, Carlo, et al.
Published: (2024)
Dealing with unbounded gradients in stochastic saddle-point optimization
by: Neu, Gergely, et al.
Published: (2024)
by: Neu, Gergely, et al.
Published: (2024)
A stochastic gradient descent algorithm with random search directions
by: Gbaguidi, Eméric
Published: (2025)
by: Gbaguidi, Eméric
Published: (2025)
Langevin dynamics based algorithm e-TH$\varepsilon$O POULA for stochastic optimization problems with discontinuous stochastic gradient
by: Lim, Dong-Young, et al.
Published: (2022)
by: Lim, Dong-Young, et al.
Published: (2022)
Multiscale replay: A robust algorithm for stochastic variational inequalities with a Markovian buffer
by: Nakul, Milind, et al.
Published: (2026)
by: Nakul, Milind, et al.
Published: (2026)
Characterizations of inexact proximal operators
by: Lauga, Guillaume, et al.
Published: (2026)
by: Lauga, Guillaume, et al.
Published: (2026)
Unregularized limit of stochastic gradient method for Wasserstein distributionally robust optimization
by: Le, Tam
Published: (2025)
by: Le, Tam
Published: (2025)
A learning-based approach to stochastic optimal control under reach-avoid constraint
by: Ni, Tingting, et al.
Published: (2024)
by: Ni, Tingting, et al.
Published: (2024)
Derivative-free stochastic bilevel optimization for inverse problems
by: Staudigl, Mathias, et al.
Published: (2024)
by: Staudigl, Mathias, et al.
Published: (2024)
Fast UCB-type algorithms for stochastic bandits with heavy and super heavy symmetric noise
by: Dorn, Yuriy, et al.
Published: (2024)
by: Dorn, Yuriy, et al.
Published: (2024)
Optimization without Retraction on the Random Generalized Stiefel Manifold
by: Vary, Simon, et al.
Published: (2024)
by: Vary, Simon, et al.
Published: (2024)
Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms
by: Martin, Andrea, et al.
Published: (2025)
by: Martin, Andrea, et al.
Published: (2025)
Sinkhorn algorithms and linear programming solvers for optimal partial transport problems
by: Bai, Yikun
Published: (2024)
by: Bai, Yikun
Published: (2024)
Solving a class of stochastic optimal control problems by physics-informed neural networks
by: Jiao, Zhe, et al.
Published: (2024)
by: Jiao, Zhe, et al.
Published: (2024)
An accelerated first-order regularized momentum descent ascent algorithm for stochastic nonconvex-concave minimax problems
by: Zhang, Huiling, et al.
Published: (2023)
by: Zhang, Huiling, et al.
Published: (2023)
Mean-square and linear convergence of a stochastic proximal point algorithm in metric spaces of nonpositive curvature
by: Pischke, Nicholas
Published: (2025)
by: Pischke, Nicholas
Published: (2025)
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
by: Paulson, Joel A., et al.
Published: (2024)
by: Paulson, Joel A., et al.
Published: (2024)
Stochastic global optimization of continuous functions via random walks on Grassmannians
by: Gupta, Kartik, et al.
Published: (2026)
by: Gupta, Kartik, et al.
Published: (2026)
Similar Items
-
A Lower Bound and a Near-Optimal Algorithm for Bilevel Empirical Risk Minimization
by: Dagréou, Mathieu, et al.
Published: (2023) -
Proximal basin hopping: global optimization with guarantees
by: Lauga, Guillaume, et al.
Published: (2026) -
Derivatives of Stochastic Gradient Descent in parametric optimization
by: Iutzeler, Franck, et al.
Published: (2024) -
Fairness-informed Pareto Optimization : An Efficient Bilevel Framework
by: Tanji, Sofiane, et al.
Published: (2026) -
Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
by: Bucarey, Víctor, et al.
Published: (2023)