conftrace_

sparse approximation

76 papers

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Co-occurring keywords

gaussian process (1200) variational inference (2069) gaussian processes (89) bayesian inference (1907) gaussian process regression (133) inducing point (33) kernel methods (1097) sparse gaussian process (27) uncertainty quantification (1393) markov chain monte carlo (725)

Papers

Understanding Multi-layered Transmission Matrices CVPR 2025
KernelMatmul: Scaling Gaussian Processes to Large Time Series AAAI 2025
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes NIPS 2024
A Novel Integer Linear Programming Approach for Global L0 Minimization JMLR 2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Fast Approximation of Similarity Graphs with Kernel Density Estimation NIPS 2023
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification ICML 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Actually Sparse Variational Gaussian Processes AISTATS 2023
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization ICML 2023
Scalable nonparametric Bayesian learning for dynamic velocity fields UAI 2023
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023
Variational nearest neighbor Gaussian process ICML 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning ICML 2022
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NIPS 2022
Input Dependent Sparse Gaussian Processes ICML 2022
Additive Gaussian Processes Revisited ICML 2022
Sparse Additive Gaussian Process Regression JMLR 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels NIPS 2022
Differentially Private Regression and Classification with Sparse Gaussian Processes JMLR 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models NIPS 2021
Scalable Gaussian Process Variational Autoencoders AISTATS 2021
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior AAAI 2021