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

High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds NIPS 2020
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization AAAI 2020
Model Inversion Networks for Model-Based Optimization NIPS 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization NIPS 2020
Projective Preferential Bayesian Optimization ICML 2020
Explicit Gradient Learning for Black-Box Optimization ICML 2020
Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020
A Framework for Bayesian Optimization in Embedded Subspaces ICML 2019
High Dimensional Bayesian Optimization via Supervised Dimension Reduction IJCAI 2019
Dynamic Pricing in High-dimensions JMLR 2019
High-Dimensional Optimization in Adaptive Random Subspaces NIPS 2019
Scalable Global Optimization via Local Bayesian Optimization NIPS 2019
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups AISTATS 2018
BOCK : Bayesian Optimization with Cylindrical Kernels ICML 2018
Batched Large-scale Bayesian Optimization in High-dimensional Spaces AISTATS 2018
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018
Stochastic Zeroth-order Optimization in High Dimensions AISTATS 2018
High Dimensional Bayesian Optimization using Dropout IJCAI 2017
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017
High Dimensional Bayesian Optimisation and Bandits via Additive Models ICML 2015
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
High-Dimensional Gaussian Process Bandits NIPS 2013
Recovering the Optimal Solution by Dual Random Projection COLT 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013