density ratio estimation

Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NeurIPS 2023 Adaptive Learning of Density Ratios in RKHS JMLR 2023 Adversarial Imitation Learning with Preferences ICLR 2023 Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023 Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics AISTATS 2023 Adaptive Model Predictive Control by Learning Classifiers L4DC 2022 Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model NeurIPS 2022 A General Recipe for Likelihood-free Bayesian Optimization ICML 2022 Batch Bayesian optimisation via density-ratio estimation with guarantees NeurIPS 2022 Density Ratio Estimation via Infinitesimal Classification AISTATS 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Learning Causal Models from Conditional Moment Restrictions by Importance Weighting ICLR 2022 Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation JMLR 2022 SIXO: Smoothing Inference with Twisted Objectives NeurIPS 2022 A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021 A General Class of Transfer Learning Regression without Implementation Cost AAAI 2021 BORE: Bayesian Optimization by Density-Ratio Estimation ICML 2021 Featurized density ratio estimation UAI 2021 Meta-Learning for Relative Density-Ratio Estimation NeurIPS 2021 Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ICML 2021 Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy ICLR 2021 The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization ICML 2021 Weighted model estimation for offline model-based reinforcement learning NeurIPS 2021 Bridging the Gap Between f-GANs and Wasserstein GANs ICML 2020