conftrace_

gaussian process

1200 papers

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Also known as

GP

Co-occurring keywords

variational inference (2069) bayesian optimization (624) bayesian inference (1907) uncertainty quantification (1393) kernel methods (1097) gaussian processes (89) regret bound (1926) active learning (1301) sparse approximation (76) hyperparameter optimization (406)

Papers

Multilateral Semantic Relations Modeling for Image Text Retrieval CVPR 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023
Uncertainty Estimation for Molecules: Desiderata and Methods ICML 2023
Estimating Causal Effects using a Multi-task Deep Ensemble ICML 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation ICCV 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision AISTATS 2023
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NIPS 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes ICML 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
Physics-enhanced Gaussian Process Variational Autoencoder L4DC 2023
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023
Bayesian Learning via Q-Exponential Process NIPS 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023
Distilling knowledge from Gaussian process teacher to neural network student INTERSPEECH 2023
Learning Dissemination Strategies for External Sources in Opinion Dynamic Models with Cognitive Biases IJCAI 2023
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NIPS 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents ICML 2023
Neural signature kernels as infinite-width-depth-limits of controlled ResNets ICML 2023
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023