conftrace_

nonparametric learning

16 papers

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Co-occurring keywords

kernel methods (1097) nonparametric model (24) graphical model (864) bayesian inference (1907) model selection (456) least squares estimator (11) iterative solver (5) hierarchical kernel (4) image feature (33) mini-batch learning (9)

Papers

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NIPS 2024
A Kernel Perspective on Distillation-based Collaborative Learning NIPS 2024
Single Trajectory Nonparametric Learning of Nonlinear Dynamics COLT 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression AISTATS 2022
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits UAI 2020
Kernel Methods Through the Roof: Handling Billions of Points Efficiently NIPS 2020
A polynomial-time algorithm for learning nonparametric causal graphs NIPS 2020
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap ICML 2019
Solving lp-norm regularization with tensor kernels AISTATS 2018
Learning with SGD and Random Features NIPS 2018
Nonparametric Online Machine Learning with Kernels IJCAI 2017
Hierarchically Compositional Kernels for Scalable Nonparametric Learning JMLR 2017
FALKON: An Optimal Large Scale Kernel Method NIPS 2017
Learning Triggering Kernels for Multi-dimensional Hawkes Processes ICML 2013
Learning Nonparametric Models for Probabilistic Imitation NIPS 2006
A Nonparametric Approach to Bottom-Up Visual Saliency NIPS 2006