Co-occurring keywords · papers mentioning both
Papers
Active Constraint Learning in High Dimensions from Demonstrations
L4DC 2026
Advanced Black-Box Tuning of Large Language Models with Limited API Calls
AAAI 2026
Balancing Expressivity and Learnability in Quantum Kernel Bandit Optimization
UAI 2026
Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis
AAAI 2026
Client-level Active Error Correction in Distributed Learning
AAAI 2026
COBALT: Censored Optimization and Bayesian Active Learning Techniques
UAI 2026
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans
WACV 2026
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation
ACL 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes
AAAI 2026
Exploiting Concavity Information in Contextual Bandit Optimization
UAI 2026
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
JMLR 2026
Flow-Induced Diagonal Gaussian Processes
AAAI 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
AAAI 2026
Function-on-Function Bayesian Optimization
AAAI 2026
Gaussian Process Limit Reveals Structural Benefits of Graph Transformers
UAI 2026
GP-4DGS: Probabilistic 4D Gaussian Splatting from Monocular Video via Variational Gaussian Processes
CVPR 2026
Hierarchical Bayesian Quadrature
UAI 2026
How Good Are Inducing Points for Dataset Distillation? (Student Abstract)
AAAI 2026
Instrumental and Proximal Causal Inference with Gaussian Processes
UAI 2026
Kronecker-Structured Nonparametric Spatiotemporal Point Processes
UAI 2026
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
L4DC 2026
Learning to Infer Fast by Attending to Sparse Temporal Observations
UAI 2026
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
AAAI 2026
PFEM-GP-dPHS : a finite element framework for combining Gaussian processes and infinite-dimensional port-Hamiltonian systems
L4DC 2026
Reward Redistribution via Gaussian Process Likelihood Estimation
AAAI 2026