Imagen de Portada

Non-Stationary Functional Bilevel Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bohne, Jason, Petrulionyte, Ieva, Arbel, Michael, Mairal, Julien, Polak, Paweł
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Functional Bilevel Optimization for Machine Learning
por: Petrulionyte, Ieva, et al.
Publicado: (2024)

Online Nonconvex Bilevel Optimization with Bregman Divergences
por: Bohne, Jason, et al.
Publicado: (2024)

Mix- and MoE-DPO: A Variational Inference Approach to Direct Preference Optimization
por: Bohne, Jason, et al.
Publicado: (2025)

MAP Estimation with Denoisers: Convergence Rates and Guarantees
por: Pesme, Scott, et al.
Publicado: (2025)

Learning Theory for Kernel Bilevel Optimization
por: Khoury, Fares El, et al.
Publicado: (2025)

Unsupervised Imaging Inverse Problems with Diffusion Distribution Matching
por: Meanti, Giacomo, et al.
Publicado: (2025)

Beyond MMSE: Enhancing PnP Restoration with ProxiMAP
por: Vert, Kenta, et al.
Publicado: (2026)

Semiparametric Efficient Bilevel Gradient Estimation
por: Khoury, Fares El, et al.
Publicado: (2026)

When Quotes Crumble: Detecting Transient Mechanical Liquidity Erosion in Limit Order Books
por: Xu, Haohan, et al.
Publicado: (2026)

On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
por: Cao, Jincheng, et al.
Publicado: (2025)

CP-PINNs: Data-Driven Changepoints Detection in PDEs Using Online Optimized Physics-Informed Neural Networks
por: Dong, Zhikang, et al.
Publicado: (2022)

Online Ensemble Learning for Sector Rotation: A Gradient-Free Framework
por: Miao, Jiaju, et al.
Publicado: (2023)

Challenges in Non-Polymeric Crystal Structure Prediction: Why a Geometric, Permutation-Invariant Loss is Needed
por: Jehanno, Emmanuel, et al.
Publicado: (2025)

Fast Semisupervised Unmixing Using Nonconvex Optimization
por: Rasti, Behnood, et al.
Publicado: (2024)

Neur2BiLO: Neural Bilevel Optimization
por: Dumouchelle, Justin, et al.
Publicado: (2024)

Dual Perspectives on Non-Contrastive Self-Supervised Learning
por: Ponce, Jean, et al.
Publicado: (2025)

MLXP: A Framework for Conducting Replicable Experiments in Python
por: Arbel, Michael, et al.
Publicado: (2024)

Online Non-Stationary Stochastic Quasar-Convex Optimization
por: Pun, Yuen-Man, et al.
Publicado: (2024)

Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
por: Kanayama, Takuya, et al.
Publicado: (2025)

Multi-Objective Causal Bayesian Optimization
por: Bhatija, Shriya, et al.
Publicado: (2025)

Bayesian Optimization of Bilevel Problems
por: Ekmekcioglu, Omer, et al.
Publicado: (2024)

Non-Stationary Lipschitz Bandits
por: Nguyen, Nicolas, et al.
Publicado: (2025)

Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
por: Jia, Tingkai, et al.
Publicado: (2026)

Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
por: Liu-Schiaffini, Miguel, et al.
Publicado: (2023)

Riemannian Bilevel Optimization
por: Dutta, Sanchayan, et al.
Publicado: (2024)

Efficient Bilevel Optimization with KFAC-Based Hypergradients
por: Liao, Disen, et al.
Publicado: (2026)

Stochastic Bilevel Optimization with Heavy-Tailed Noise
por: Liu, Zhuanghua, et al.
Publicado: (2025)

Hyperparameter Tuning Through Pessimistic Bilevel Optimization
por: Ustun, Meltem Apaydin, et al.
Publicado: (2024)

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit
por: Zhou, Julien, et al.
Publicado: (2024)

Adaptive Calibration in Non-Stationary Environments
por: Liu, Junyan, et al.
Publicado: (2026)

Sampling Imbalanced Data with Multi-objective Bilevel Optimization
por: Medlin, Karen, et al.
Publicado: (2025)

Gaussian Pre-Activations in Neural Networks: Myth or Reality?
por: Wolinski, Pierre, et al.
Publicado: (2022)

Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
por: Son, Seongho, et al.
Publicado: (2024)

Differentially Private Bilevel Optimization
por: Kornowski, Guy
Publicado: (2024)

On Stability in Optimistic Bilevel Optimization
por: Royset, Johannes O.
Publicado: (2024)

A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
por: Meng, Qing-xin, et al.
Publicado: (2025)

Counterfactual Learning of Stochastic Policies with Continuous Actions
por: Zenati, Houssam, et al.
Publicado: (2020)

Risk-averse Learning with Non-Stationary Distributions
por: Wang, Siyi, et al.
Publicado: (2024)

MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events
por: Bertrand, Juliette, et al.
Publicado: (2025)

Optimal transport unlocks end-to-end learning for single-molecule localization
por: Seailles, Romain, et al.
Publicado: (2025)