conftrace_

bayesian optimization

624 papers

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Also known as

BO BAYESOPT

Co-occurring keywords

gaussian process (1200) acquisition function (129) hyperparameter optimization (406) regret bound (1926) black-box optimization (183) surrogate model (181) hyperparameter tuning (215) multi-objective optimization (364) thompson sampling (237) high-dimensional optimization (53)

Papers

Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NIPS 2024
Grey-Box Bayesian Optimization for Sensor Placement in Assisted Living Environments AAAI 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal NIPS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Graph Bayesian Optimization for Multiplex Influence Maximization AAAI 2024
Transition Constrained Bayesian Optimization via Markov Decision Processes NIPS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization NAACL 2024
Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models NAACL 2024