conftrace_

sampling distribution

16 papers

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Co-occurring keywords

active learning (1301) stochastic gradient descent (1091) labeling budget (7) weighted trace norm (2) low rank matrix (29) trace norm (19) low rank approximation (47) model comparison (51) risk estimation (30) gradient-based sampling (15)

Papers

Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation ACL 2025
Exactly Minimax-Optimal Locally Differentially Private Sampling NIPS 2024
GLIME: General, Stable and Local LIME Explanation NIPS 2023
Generalized Differentiable RANSAC ICCV 2023
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture CVPR 2022
Parallelised Diffeomorphic Sampling-based Motion Planning CORL 2021
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019
Adaptive Sampled Softmax with Kernel Based Sampling ICML 2018
The Importance of Sampling inMeta-Reinforcement Learning NIPS 2018
Safe Adaptive Importance Sampling NIPS 2017
An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection ICML 2015
Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling Distributions AISTATS 2015
Active Comparison of Prediction Models NIPS 2012
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Active Estimation of F-Measures NIPS 2010
Active learning for misspecified generalized linear models NIPS 2006