Stability-based Generalization Bounds for Variational Inference
Fuente:
arXiv
Guardado en:
| Autores principales: | Wei, Yadi, Khardon, Roni |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Variational Inference on the Final-Layer Output of Neural Networks
por: Wei, Yadi, et al.
Publicado: (2023)
por: Wei, Yadi, et al.
Publicado: (2023)
Learning DNF through Generalized Fourier Representations
por: Heidari, Mohsen, et al.
Publicado: (2025)
por: Heidari, Mohsen, et al.
Publicado: (2025)
Improving planning and MBRL with temporally-extended actions
por: Chatterjee, Palash, et al.
Publicado: (2025)
por: Chatterjee, Palash, et al.
Publicado: (2025)
Tight Bounds for Jensen's Gap with Applications to Variational Inference
por: Mazur, Marcin, et al.
Publicado: (2025)
por: Mazur, Marcin, et al.
Publicado: (2025)
Particle-based Energetic Variational Inference
por: Wang, Yiwei, et al.
Publicado: (2020)
por: Wang, Yiwei, et al.
Publicado: (2020)
Stability of Sequential and Parallel Coordinate Ascent Variational Inference
por: Pati, Debdeep
Publicado: (2026)
por: Pati, Debdeep
Publicado: (2026)
Pathwise Gradient Variance Reduction with Control Variates in Variational Inference
por: Ng, Kenyon, et al.
Publicado: (2024)
por: Ng, Kenyon, et al.
Publicado: (2024)
Expected Free Energy-based Planning as Variational Inference
por: de Vries, Bert, et al.
Publicado: (2025)
por: de Vries, Bert, et al.
Publicado: (2025)
Generative Principal Component Regression via Variational Inference
por: Talbot, Austin, et al.
Publicado: (2024)
por: Talbot, Austin, et al.
Publicado: (2024)
Aligning Few-Step Generative Models by Amortizing Sample-based Variational Inference
por: Lee, Jaewoo, et al.
Publicado: (2026)
por: Lee, Jaewoo, et al.
Publicado: (2026)
Permutation-based Inference for Variational Learning of Directed Acyclic Graphs
por: Bonilla, Edwin V., et al.
Publicado: (2024)
por: Bonilla, Edwin V., et al.
Publicado: (2024)
Variational Rectification Inference for Learning with Noisy Labels
por: Sun, Haoliang, et al.
Publicado: (2026)
por: Sun, Haoliang, et al.
Publicado: (2026)
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
por: Chen, Weizhe, et al.
Publicado: (2024)
por: Chen, Weizhe, et al.
Publicado: (2024)
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes
por: Chen, Weizhe, et al.
Publicado: (2023)
por: Chen, Weizhe, et al.
Publicado: (2023)
Globally Convergent Variational Inference
por: McNamara, Declan, et al.
Publicado: (2025)
por: McNamara, Declan, et al.
Publicado: (2025)
Censor Dependent Variational Inference
por: Liu, Chuanhui, et al.
Publicado: (2025)
por: Liu, Chuanhui, et al.
Publicado: (2025)
Generalized Guarantees for Variational Inference in the Presence of Even and Elliptical Symmetry
por: Margossian, Charles C., et al.
Publicado: (2025)
por: Margossian, Charles C., et al.
Publicado: (2025)
On Kernel-based Variational Autoencoder
por: Qin, Tian, et al.
Publicado: (2024)
por: Qin, Tian, et al.
Publicado: (2024)
Learning Generation Orders for Masked Discrete Diffusion Models via Variational Inference
por: Fox, David, et al.
Publicado: (2026)
por: Fox, David, et al.
Publicado: (2026)
Variational Inference with Mixtures of Isotropic Gaussians
por: Petit-Talamon, Marguerite, et al.
Publicado: (2025)
por: Petit-Talamon, Marguerite, et al.
Publicado: (2025)
Amortized Variational Inference: When and Why?
por: Margossian, Charles C., et al.
Publicado: (2023)
por: Margossian, Charles C., et al.
Publicado: (2023)
Deconfounding Imitation Learning with Variational Inference
por: Vuorio, Risto, et al.
Publicado: (2022)
por: Vuorio, Risto, et al.
Publicado: (2022)
Learning with Importance Weighted Variational Inference
por: Daudel, Kamélia, et al.
Publicado: (2024)
por: Daudel, Kamélia, et al.
Publicado: (2024)
Particle Semi-Implicit Variational Inference
por: Lim, Jen Ning, et al.
Publicado: (2024)
por: Lim, Jen Ning, et al.
Publicado: (2024)
Kernel Semi-Implicit Variational Inference
por: Cheng, Ziheng, et al.
Publicado: (2024)
por: Cheng, Ziheng, et al.
Publicado: (2024)
Stepwise Variational Inference with Vine Copulas
por: Griesbauer, Elisabeth, et al.
Publicado: (2026)
por: Griesbauer, Elisabeth, et al.
Publicado: (2026)
Variational Transdimensional Inference
por: Davies, Laurence, et al.
Publicado: (2025)
por: Davies, Laurence, et al.
Publicado: (2025)
Counterfactual Generative Modeling with Variational Causal Inference
por: Wu, Yulun, et al.
Publicado: (2024)
por: Wu, Yulun, et al.
Publicado: (2024)
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
por: Nguyen, Dai Hai, et al.
Publicado: (2023)
por: Nguyen, Dai Hai, et al.
Publicado: (2023)
Variational Inference with Coverage Guarantees in Simulation-Based Inference
por: Patel, Yash, et al.
Publicado: (2023)
por: Patel, Yash, et al.
Publicado: (2023)
AutoBayes: A Compositional Framework for Generalized Variational Inference
por: Smithe, Toby St Clere, et al.
Publicado: (2025)
por: Smithe, Toby St Clere, et al.
Publicado: (2025)
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
por: Xu, Jian, et al.
Publicado: (2023)
por: Xu, Jian, et al.
Publicado: (2023)
Large-scale Score-based Variational Posterior Inference for Bayesian Deep Neural Networks
por: Kim, Minyoung
Publicado: (2026)
por: Kim, Minyoung
Publicado: (2026)
Stability, Complexity and Data-Dependent Worst-Case Generalization Bounds
por: Tuci, Mario, et al.
Publicado: (2025)
por: Tuci, Mario, et al.
Publicado: (2025)
Gradient-Variation Regret Bounds for Unconstrained Online Learning
por: Zhao, Yuheng, et al.
Publicado: (2026)
por: Zhao, Yuheng, et al.
Publicado: (2026)
Slow Feature Analysis as Variational Inference Objective
por: Schüler, Merlin, et al.
Publicado: (2025)
por: Schüler, Merlin, et al.
Publicado: (2025)
Mode Collapse of Mean-Field Variational Inference
por: Sheng, Shunan, et al.
Publicado: (2025)
por: Sheng, Shunan, et al.
Publicado: (2025)
Stochastic Variational Inference with Tuneable Stochastic Annealing
por: Paisley, John, et al.
Publicado: (2025)
por: Paisley, John, et al.
Publicado: (2025)
Sparse Orthogonal Variational Inference for Gaussian Processes
por: Shi, Jiaxin, et al.
Publicado: (2019)
por: Shi, Jiaxin, et al.
Publicado: (2019)
Amortized Variational Inference for Deep Gaussian Processes
por: Meng, Qiuxian, et al.
Publicado: (2024)
por: Meng, Qiuxian, et al.
Publicado: (2024)
Ejemplares similares
-
Variational Inference on the Final-Layer Output of Neural Networks
por: Wei, Yadi, et al.
Publicado: (2023) -
Learning DNF through Generalized Fourier Representations
por: Heidari, Mohsen, et al.
Publicado: (2025) -
Improving planning and MBRL with temporally-extended actions
por: Chatterjee, Palash, et al.
Publicado: (2025) -
Tight Bounds for Jensen's Gap with Applications to Variational Inference
por: Mazur, Marcin, et al.
Publicado: (2025) -
Particle-based Energetic Variational Inference
por: Wang, Yiwei, et al.
Publicado: (2020)