A Computable Measure of Suboptimality for Entropy-Regularised Variational Objectives
Fuente:
arXiv
Saved in:
| Main Authors: | Chazal, Clémentine, Kanagawa, Heishiro, Shen, Zheyang, Korba, Anna, Oates, Chris. J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reinforcement Learning for Adaptive MCMC
by: Wang, Congye, et al.
Published: (2024)
by: Wang, Congye, et al.
Published: (2024)
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
by: Chazal, Clémentine, et al.
Published: (2024)
by: Chazal, Clémentine, et al.
Published: (2024)
Harnessing the Power of Reinforcement Learning for Adaptive MCMC
by: Wang, Congye, et al.
Published: (2025)
by: Wang, Congye, et al.
Published: (2025)
Stationary MMD Points
by: Chen, Zonghao, et al.
Published: (2025)
by: Chen, Zonghao, et al.
Published: (2025)
Thinned Mean Field Langevin Dynamics
by: Chen, Zonghao, et al.
Published: (2026)
by: Chen, Zonghao, et al.
Published: (2026)
Operator-Informed Score Matching for Markov Diffusion Models
by: Shen, Zheyang, et al.
Published: (2024)
by: Shen, Zheyang, et al.
Published: (2024)
Controlling Moments with Kernel Stein Discrepancies
by: Kanagawa, Heishiro, et al.
Published: (2022)
by: Kanagawa, Heishiro, et al.
Published: (2022)
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
by: Xu, Liyuan, et al.
Published: (2021)
by: Xu, Liyuan, et al.
Published: (2021)
A Unifying View of Variational Generative Wasserstein Flows
by: Caucheteux, Paul, et al.
Published: (2026)
by: Caucheteux, Paul, et al.
Published: (2026)
Variational Inference with Mixtures of Isotropic Gaussians
by: Petit-Talamon, Marguerite, et al.
Published: (2025)
by: Petit-Talamon, Marguerite, et al.
Published: (2025)
Fast Approximate Solution of Stein Equations for Post-Processing of MCMC
by: Liu, Qingyang, et al.
Published: (2025)
by: Liu, Qingyang, et al.
Published: (2025)
Sampling from multi-modal distributions with polynomial query complexity in fixed dimension via reverse diffusion
by: Vacher, Adrien, et al.
Published: (2024)
by: Vacher, Adrien, et al.
Published: (2024)
Scalable Monte Carlo for Bayesian Learning
by: Fearnhead, Paul, et al.
Published: (2024)
by: Fearnhead, Paul, et al.
Published: (2024)
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
by: Huix, Tom, et al.
Published: (2024)
by: Huix, Tom, et al.
Published: (2024)
A Practical Diffusion Path for Sampling
by: Chehab, Omar, et al.
Published: (2024)
by: Chehab, Omar, et al.
Published: (2024)
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
by: Chehab, Omar, et al.
Published: (2024)
by: Chehab, Omar, et al.
Published: (2024)
Scaling Test-Time Compute Without Verification or RL is Suboptimal
by: Setlur, Amrith, et al.
Published: (2025)
by: Setlur, Amrith, et al.
Published: (2025)
A connection between Tempering and Entropic Mirror Descent
by: Chopin, Nicolas, et al.
Published: (2023)
by: Chopin, Nicolas, et al.
Published: (2023)
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
by: Hosseinkhan-Boucher, Rémy, et al.
Published: (2025)
Kernel Trace Distance: Quantum Statistical Metric between Measures through RKHS Density Operators
by: Castellanos, Arturo, et al.
Published: (2025)
by: Castellanos, Arturo, et al.
Published: (2025)
Fast Computation of Leave-One-Out Cross-Validation for $k$-NN Regression
by: Kanagawa, Motonobu
Published: (2024)
by: Kanagawa, Motonobu
Published: (2024)
Recursive Learning of Asymptotic Variational Objectives
by: Mastrototaro, Alessandro, et al.
Published: (2024)
by: Mastrototaro, Alessandro, et al.
Published: (2024)
Generalized Discrete Diffusion from Snapshots
by: Zekri, Oussama, et al.
Published: (2026)
by: Zekri, Oussama, et al.
Published: (2026)
Consistency Regularised Gradient Flows for Inverse Problems
by: Spagnoletti, Alessio, et al.
Published: (2026)
by: Spagnoletti, Alessio, et al.
Published: (2026)
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
by: Vauthier, Christophe, et al.
Published: (2025)
by: Vauthier, Christophe, et al.
Published: (2025)
Evaluating the Relevance of Uncertainty Estimators for LLM Hallucination
by: Agnimo, Yedidia, et al.
Published: (2026)
by: Agnimo, Yedidia, et al.
Published: (2026)
Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)
by: Liu, Qingyang, et al.
Published: (2025)
Extrapolation of Tempered Posteriors
by: Xi, Mengxin, et al.
Published: (2025)
by: Xi, Mengxin, et al.
Published: (2025)
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
by: Bonet, Clément, et al.
Published: (2025)
by: Bonet, Clément, et al.
Published: (2025)
Token-based Decision Criteria Are Suboptimal in In-context Learning
by: Cho, Hakaze, et al.
Published: (2024)
by: Cho, Hakaze, et al.
Published: (2024)
On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
by: Zheng, Ziwei, et al.
Published: (2024)
by: Zheng, Ziwei, et al.
Published: (2024)
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
by: Xiong, Zheyang, et al.
Published: (2024)
by: Xiong, Zheyang, et al.
Published: (2024)
Topological Analysis for Detecting Anomalies (TADA) in Time Series
by: Chazal, Frédéric, et al.
Published: (2024)
by: Chazal, Frédéric, et al.
Published: (2024)
Improved Random Features for Dot Product Kernels
by: Wacker, Jonas, et al.
Published: (2022)
by: Wacker, Jonas, et al.
Published: (2022)
Automated Byzantine-Resilient Clustered Decentralized Federated Learning for Battery Intelligence in Connected EVs
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)
by: Bouchiha, Mouhamed Amine, et al.
Published: (2026)
Temporally-Aware Diffusion Model for Brain Progression Modelling with Bidirectional Temporal Regularisation
by: Litrico, Mattia, et al.
Published: (2025)
by: Litrico, Mattia, et al.
Published: (2025)
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation
by: Fish, Edward, et al.
Published: (2025)
by: Fish, Edward, et al.
Published: (2025)
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
by: Geuter, Jonathan, et al.
Published: (2025)
by: Geuter, Jonathan, et al.
Published: (2025)
Variational predictive resampling
by: Battaglia, Laura, et al.
Published: (2026)
by: Battaglia, Laura, et al.
Published: (2026)
Learning to Segment using Summary Statistics and Weak Supervision
by: Kulkarni, Omkar, et al.
Published: (2026)
by: Kulkarni, Omkar, et al.
Published: (2026)
Similar Items
-
Reinforcement Learning for Adaptive MCMC
by: Wang, Congye, et al.
Published: (2024) -
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
by: Chazal, Clémentine, et al.
Published: (2024) -
Harnessing the Power of Reinforcement Learning for Adaptive MCMC
by: Wang, Congye, et al.
Published: (2025) -
Stationary MMD Points
by: Chen, Zonghao, et al.
Published: (2025) -
Thinned Mean Field Langevin Dynamics
by: Chen, Zonghao, et al.
Published: (2026)