conftrace_

high-dimensional optimization

53 papers

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Co-occurring keywords

bayesian optimization (624) gaussian process (1200) regret bound (1926) hyperparameter optimization (406) surrogate model (181) sparse optimization (246) black-box optimization (183) convex optimization (1321) thompson sampling (237) dimensionality reduction (720)

Papers

BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings AAAI 2025
Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NIPS 2024
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences NIPS 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
An invariant information geometric method for high-dimensional online optimization L4DC 2024
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization JMLR 2024
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces NIPS 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes AISTATS 2023
Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection AUTOML 2023
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023
Two-stage Kernel Bayesian Optimization in High Dimensions UAI 2023
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making ICML 2022
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NIPS 2022
When Does Differentially Private Learning Not Suffer in High Dimensions? NIPS 2022
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso AUTOML 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NIPS 2022
High-dimensional Bayesian optimization with sparse axis-aligned subspaces UAI 2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021
Explicit Gradient Learning for Black-Box Optimization ICML 2020