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

Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation ACL 2026

Cycle-Consistent Multi-Graph Matching for Self-Supervised Annotation of C. Elegans WACV 2026

SGPMIL: Sparse Gaussian Process Multiple Instance Learning WACV 2026

Parametric Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2026

Advanced Black-Box Tuning of Large Language Models with Limited API Calls AAAI 2026

Structure Detection for Contextual Reinforcement Learning AAAI 2026

Reward Redistribution via Gaussian Process Likelihood Estimation AAAI 2026

Flow-Induced Diagonal Gaussian Processes AAAI 2026

Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes AAAI 2026

RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation AAAI 2026

How Good Are Inducing Points for Dataset Distillation? (Student Abstract) AAAI 2026

Function-on-Function Bayesian Optimization AAAI 2026

Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026

Client-level Active Error Correction in Distributed Learning AAAI 2026

Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis AAAI 2026

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model AAAI 2026

One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection ICCV 2025

LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? EMNLP 2025

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification RSS 2025

Towards Uncertainty Unification: A Case Study for Preference Learning RSS 2025

Asynchronous Distributed Gaussian Process Regression AAAI 2025

Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025

Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization AAAI 2025