Saved in:
| Main Authors: | Müller, Johannes, Montúfar, Guido |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2211.02105 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients
by: Müller, Johannes, et al.
Published: (2024)
by: Müller, Johannes, et al.
Published: (2024)
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes
by: Müller, Johannes, et al.
Published: (2024)
by: Müller, Johannes, et al.
Published: (2024)
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
by: Kerimkulov, Bekzhan, et al.
Published: (2023)
by: Kerimkulov, Bekzhan, et al.
Published: (2023)
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
by: Behmandpoor, Pourya, et al.
Published: (2022)
by: Behmandpoor, Pourya, et al.
Published: (2022)
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices
by: Ou, Hongjia, et al.
Published: (2024)
by: Ou, Hongjia, et al.
Published: (2024)
Quasi-Newton methods for minimizing a quadratic function subject to uncertainty
by: Peng, Shen, et al.
Published: (2021)
by: Peng, Shen, et al.
Published: (2021)
Nonsmooth exact penalty methods for equality-constrained optimization: complexity and implementation
by: Diouane, Youssef, et al.
Published: (2024)
by: Diouane, Youssef, et al.
Published: (2024)
(Adaptive) Scaled gradient methods beyond locally Holder smoothness: Lyapunov analysis, convergence rate and complexity
by: Ghaderi, Susan, et al.
Published: (2025)
by: Ghaderi, Susan, et al.
Published: (2025)
Alternating Iteratively Reweighted $\ell_1$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Soft quasi-Newton: Guaranteed positive definiteness by relaxing the secant constraint
by: Berglund, Erik, et al.
Published: (2024)
by: Berglund, Erik, et al.
Published: (2024)
Proximal Quasi-Newton Method for Composite Optimization over the Stiefel Manifold
by: Wang, Qinsi, et al.
Published: (2025)
by: Wang, Qinsi, et al.
Published: (2025)
Novel Limited Memory Quasi-Newton Methods Based On Optimal Matrix Approximation
by: Berglund, Erik, et al.
Published: (2024)
by: Berglund, Erik, et al.
Published: (2024)
Riemannian Interior Point Methods for Constrained Optimization on Manifolds
by: Lai, Zhijian, et al.
Published: (2022)
by: Lai, Zhijian, et al.
Published: (2022)
A new envelope function for nonsmooth DC optimization
by: Themelis, Andreas, et al.
Published: (2020)
by: Themelis, Andreas, et al.
Published: (2020)
Foundations of Riemannian Geometry for Riemannian Optimization: A Monograph with Detailed Derivations
by: Ghojogh, Benyamin
Published: (2026)
by: Ghojogh, Benyamin
Published: (2026)
Lipschitz upper semicontinuity of linear inequality systems under full perturbations
by: Camacho, Jesús, et al.
Published: (2025)
by: Camacho, Jesús, et al.
Published: (2025)
Nonmonotone subgradient methods based on a local descent lemma
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)
by: Aragón-Artacho, Francisco J., et al.
Published: (2025)
A Stochastic Quasi-Newton Method in the Absence of Common Random Numbers
by: Menickelly, Matt, et al.
Published: (2023)
by: Menickelly, Matt, et al.
Published: (2023)
Riemannian Gradient Method with Momentum
by: Leggio, Filippo, et al.
Published: (2026)
by: Leggio, Filippo, et al.
Published: (2026)
Improving Quasi-Newton Methods via Image and Projection Operators
by: Ji, Zhenyuan
Published: (2025)
by: Ji, Zhenyuan
Published: (2025)
A non-monotone trust-region method with noisy oracles and additional sampling
by: Krejic, Natasa, et al.
Published: (2023)
by: Krejic, Natasa, et al.
Published: (2023)
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
by: Latafat, Puya, et al.
Published: (2019)
by: Latafat, Puya, et al.
Published: (2019)
A linesearch-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization
by: Zeng, Hanfeng, et al.
Published: (2026)
by: Zeng, Hanfeng, et al.
Published: (2026)
Robust Graph-Based Semi-Supervised Learning via $p$-Conductances
by: Robertson, Sawyer Jack, et al.
Published: (2025)
by: Robertson, Sawyer Jack, et al.
Published: (2025)
Mixed Newton Method for Optimization in Complex Spaces
by: Yudin, Nikita, et al.
Published: (2024)
by: Yudin, Nikita, et al.
Published: (2024)
A Riemannian quasi-Newton algorithm for optimization with Euclidean bounds
by: Baran, Mateusz, et al.
Published: (2026)
by: Baran, Mateusz, et al.
Published: (2026)
Relative Lipschitz-like property of parametric systems via projectional coderivative
by: Yao, Wenfang, et al.
Published: (2022)
by: Yao, Wenfang, et al.
Published: (2022)
Generalized gradient flows in Hadamard manifolds and convex optimization on entanglement polytopes
by: Hirai, Hiroshi
Published: (2025)
by: Hirai, Hiroshi
Published: (2025)
A scaling characterization of nc-rank via unbounded gradient flow
by: Hirai, Hiroshi
Published: (2025)
by: Hirai, Hiroshi
Published: (2025)
The gradient's limit of a definable family of functions admits a variational stratification
by: Schechtman, Sholom
Published: (2024)
by: Schechtman, Sholom
Published: (2024)
Modified limited memory BFGS with displacement aggregation and its application to the largest eigenvalue problem
by: Sahu, Manish Kumar, et al.
Published: (2023)
by: Sahu, Manish Kumar, et al.
Published: (2023)
Revisiting implicit variables in mathematical optimization: simplified modeling and a numerical evidence
by: Mehlitz, Patrick
Published: (2025)
by: Mehlitz, Patrick
Published: (2025)
Non-subdifferentiability optimality and mean value theorems via new relative subdifferentials
by: Thinh, Vo Duc, et al.
Published: (2024)
by: Thinh, Vo Duc, et al.
Published: (2024)
Nonlinear Conjugate Gradient Methods for Optimization of Set-Valued Mappings of Finite Cardinality
by: Ghosh, Debdas, et al.
Published: (2024)
by: Ghosh, Debdas, et al.
Published: (2024)
Stability for Nash Equilibrium Problems
by: Diao, Ruoyu, et al.
Published: (2024)
by: Diao, Ruoyu, et al.
Published: (2024)
Quasi-Newton Method for Set Optimization Problems with Set-Valued Mapping Given by Finitely Many Vector-Valued Functions
by: Ghosh, Debdas, et al.
Published: (2024)
by: Ghosh, Debdas, et al.
Published: (2024)
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
by: Vervliet, Nico, et al.
Published: (2020)
by: Vervliet, Nico, et al.
Published: (2020)
Approximate stationarity in disjunctive optimization: concepts, qualification conditions, and application to MPCCs
by: Käming, Isabella, et al.
Published: (2025)
by: Käming, Isabella, et al.
Published: (2025)
A stochastic use of the Kurdyka-Lojasiewicz property: Investigation of optimization algorithms behaviours in a non-convex differentiable framework
by: Fest, Jean-Baptiste, et al.
Published: (2023)
by: Fest, Jean-Baptiste, et al.
Published: (2023)
Proximal Limited-Memory Quasi-Newton Methods for Nonsmooth Nonconvex Optimization
by: Dahl, Simeon vom, et al.
Published: (2026)
by: Dahl, Simeon vom, et al.
Published: (2026)
Similar Items
-
Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients
by: Müller, Johannes, et al.
Published: (2024) -
Optimal Rates of Convergence for Entropy Regularization in Discounted Markov Decision Processes
by: Müller, Johannes, et al.
Published: (2024) -
A Fisher-Rao gradient flow for entropy-regularised Markov decision processes in Polish spaces
by: Kerimkulov, Bekzhan, et al.
Published: (2023) -
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
by: Behmandpoor, Pourya, et al.
Published: (2022) -
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices
by: Ou, Hongjia, et al.
Published: (2024)