Cover Image

Last Layer Hamiltonian Monte Carlo

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vellenga, Koen, Steinhauer, H. Joe, Falkman, Göran, Andersson, Jonas, Sjögren, Anders
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence G.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Latent Uncertainty Representations for Video-based Driver Action and Intention Recognition
by: Vellenga, Koen, et al.
Published: (2025)

Designing deep neural networks for driver intention recognition
by: Vellenga, Koen, et al.
Published: (2024)

S4M: S4 for multivariate time series forecasting with Missing values
by: Peng, Jing, et al.
Published: (2025)

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling
by: Zhao, Shifan, et al.
Published: (2024)

Bayesian Neural Networks with Monte Carlo Dropout for Probabilistic Electricity Price Forecasting
by: Das, Abhinav, et al.
Published: (2025)

Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-Making
by: Liu, Larkin, et al.
Published: (2025)

Last Layer Empirical Bayes
by: Villecroze, Valentin, et al.
Published: (2025)

Fast Neural Tangent Kernel Alignment, Norm and Effective Rank via Trace Estimation
by: Hazelden, James
Published: (2025)

Discriminative Ordering Through Ensemble Consensus
by: Ohl, Louis, et al.
Published: (2025)

Counterfactual Realizability
by: Raghavan, Arvind, et al.
Published: (2025)

Kernel KMeans clustering splits for end-to-end unsupervised decision trees
by: Ohl, Louis, et al.
Published: (2024)

Linear Log-Normal Attention with Unbiased Concentration
by: Nahshan, Yury, et al.
Published: (2023)

Maximum Temperature Prediction Using Remote Sensing Data Via Convolutional Neural Network
by: Innocenti, Lorenzo, et al.
Published: (2024)

Causal Discovery in Semi-Stationary Time Series
by: Gao, Shanyun, et al.
Published: (2024)

Causal Identification from Counterfactual Data: Completeness and Bounding Results
by: Raghavan, Arvind, et al.
Published: (2026)

Assessing Electricity Demand Forecasting with Exogenous Data in Time Series Foundation Models
by: Cheong, Wei Soon, et al.
Published: (2026)

Day-Ahead Electricity Price Forecasting for Volatile Markets Using Foundation Models with Regularization Strategy
by: Ponyuenyong, Kritchanat, et al.
Published: (2026)

Causal Discovery-Driven Change Point Detection in Time Series
by: Gao, Shanyun, et al.
Published: (2024)

From Causal Discovery to Dynamic Causal Inference in Neural Time Series
by: Zaytsev, Dmitry, et al.
Published: (2026)

Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
by: Jullien, Sami, et al.
Published: (2023)

JANUS: Structured Bidirectional Generation for Guaranteed Constraints and Analytical Uncertainty
by: Racicot, Taha
Published: (2026)

A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
by: Liu, Kara, et al.
Published: (2026)

LABO: LLM-Accelerated Bayesian Optimization through Broad Exploration and Selective Experimentation
by: Chen, Zhuo, et al.
Published: (2026)

Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
by: Hameed, Humza Wajid, et al.
Published: (2024)

Monte Carlo Expected Threat (MOCET) Scoring
by: Kim, Joseph, et al.
Published: (2025)

Identifying All ε-Best Arms in (Misspecified) Linear Bandits
by: Li, Zhekai, et al.
Published: (2025)

Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry
by: Yazdanpourmoghadam, Samira, et al.
Published: (2026)

Monte Carlo Permutation Search
by: Cazenave, Tristan
Published: (2025)

ProBoost: a Boosting Method for Probabilistic Classifiers
by: Mendonça, Fábio, et al.
Published: (2022)

Variational Autoencoder Kernel Interpretation and Selection for Classification
by: Mendonça, Fábio, et al.
Published: (2022)

Anytime Sequential Halving in Monte-Carlo Tree Search
by: Sagers, Dominic, et al.
Published: (2024)

Epistemic Monte Carlo Tree Search
by: Oren, Yaniv, et al.
Published: (2022)

Using latent representations to link disjoint longitudinal data for mixed-effects regression
by: Schächter, Clemens, et al.
Published: (2025)

Real-Time Device Reach Forecasting Using HLL and MinHash Data Sketches
by: Muniyappa, Chandrashekar, et al.
Published: (2025)

Sinusoidal Initialization, Time for a New Start
by: Fernández-Hernández, Alberto, et al.
Published: (2025)

Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection
by: Ohl, Louis, et al.
Published: (2023)

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
by: Xu, Jian, et al.
Published: (2024)

Twice Sequential Monte Carlo for Tree Search
by: Oren, Yaniv, et al.
Published: (2025)

Doubly Robust Monte Carlo Tree Search
by: Liu, Manqing, et al.
Published: (2025)

SPO: Sequential Monte Carlo Policy Optimisation
by: Macfarlane, Matthew V, et al.
Published: (2024)