Bayesian Optimization

Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025 Multi-Objective Molecular Design Through Learning Latent Pareto Set AAAI 2025 Near-Optimal Algorithm for Non-Stationary Kernelized Bandits AISTATS 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures AISTATS 2025 Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025 Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025 Optimizing Posterior Samples for Bayesian Optimization via Rootfinding ICLR 2025 PABBO: Preferential Amortized Black-Box Optimization ICLR 2025 Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach Interspeech 2025 PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks AAAI 2025 qPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling AISTATS 2025 Relation-Augmented Dueling Bayesian Optimization via Preference Propagation IJCAI 2025 Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition AISTATS 2025 Safe exploration in reproducing kernel Hilbert spaces AISTATS 2025 SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction EMNLP 2025 Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization ICLR 2025 Time-varying Gaussian Process Bandits with Unknown Prior AISTATS 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation AAAI 2025 Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context AISTATS 2025 Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025 Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024 Adversarial Causal Bayesian Optimization ICLR 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024