conftrace_

gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets ALT 2026
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026
Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation ACL 2026
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026
Flow-Induced Diagonal Gaussian Processes AAAI 2026
Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026
How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026
Function-on-Function Bayesian Optimization AAAI 2026
Client-level Active Error Correction in Distributed Learning AAAI 2026
Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026
SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026
Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis AAAI 2026
Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026
RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation AAAI 2026
Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026
Structure Detection for Contextual Reinforcement Learning AAAI 2026
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
A Bayesian Optimization Approach to Machine Translation Reranking NAACL 2025
Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025
Asynchronous Distributed Gaussian Process Regression AAAI 2025
Score-Based Diffusion Models in Function Space JMLR 2025