conftrace_

non-parametric model

18 papers

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Co-occurring keywords

partial ranking (10) non-parametric bayesian (18) bayesian inference (1907) reinforcement learning (4352) conditional density estimation (20) dynamic network (48) heteroscedastic regression (22) human mobility (18) few-shot prompting (143) adaptive retrieval (26)

Papers

Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval ACL 2024
Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024
Conditional Density Estimation with Histogram Trees NIPS 2024
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning NIPS 2021
A Causal Approach for Unfair Edge Prioritization and Discrimination Removal ACML 2021
Non-parametric Models for Non-negative Functions NIPS 2020
Non Parametric Graph Learning for Bayesian Graph Neural Networks UAI 2020
Dynamic Network Model from Partial Observations NIPS 2018
A Non-Parametric Generative Model for Human Trajectories IJCAI 2018
Integrating Parametric and Non-Parametric Models For Scene Labeling CVPR 2015
Information-based learning by agents in unbounded state spaces NIPS 2014
Gaussian Process Volatility Model NIPS 2014
Active Learning of Parameterized Skills ICML 2014
A Non-parametric Bayesian Network Prior of Human Pose ICCV 2013
Estimating Probabilities in Recommendation Systems AISTATS 2011
Non-Parametric Modeling of Partially Ranked Data JMLR 2008
Non-parametric Modeling of Partially Ranked Data NIPS 2007