Density Ratio Estimation

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Most implemented papers archive 2025-07-28

30 shown of 32 papers with code (93 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Density Ratio Estimation via Infinitesimal Classification
  22 Nov 2021 2 repositories listed
  We then estimate the instantaneous rate of change of the bridge distributions indexed by time (the "time score") -- a quantity defined analogously to data (Stein) scores -- with a novel time score matching objective.
• Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
  10 Jun 2020 2 repositories listed Syntology ran 4 of 21 samples · 17 unverified
  Classifying sequential data as early and as accurately as possible is a challenging yet critical problem, especially when a sampling cost is high.
• Savage-Dickey density ratio estimation with normalizing flows for Bayesian model comparison
  4 Jun 2025 1 repository listed
  We introduce a neural SDDR approach using normalizing flows that can scale to settings where the super model contains a large number of extra parameters.
• Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation
  8 May 2025 1 repository listed
  Density ratio estimation is fundamental to tasks involving f-divergences, yet existing methods often fail under significantly different distributions or inadequately overlap supports, suffering from the density-chasm…
• Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
  29 Jan 2025 1 repository listed Syntology ran 5 of 8 samples · 3 unverified
  We thus introduce FIRMBOUND, an SPRT-based framework that efficiently estimates the solution to backward induction from training data, bridging the gap between optimal stopping theory and real-world deployment.
• Your copula is a classifier in disguise: classification-based copula density estimation
  5 Nov 2024 1 repository listed
  We propose reinterpreting copula density estimation as a discriminative task.
• How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
  14 Oct 2024 1 repository listed Syntology ran 8 of 10 samples · 2 unverified · 10 pointer-only (licence)
  This paper introduces a novel generalized self-imitation learning (GSIL) framework, which effectively and efficiently aligns large language models with offline demonstration data.
• Robust Conformal Volume Estimation in 3D Medical Images
  29 Jul 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  A potential reason is that it relies on the estimation of the density ratio between the calibration and test distributions, which is likely to be intractable in scenarios involving high-dimensional data.
• Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
  21 Feb 2024 1 repository listed
  Estimating the ratio of two probability densities from finitely many samples, is a central task in machine learning and statistics.
• Neural Feature Learning in Function Space
  18 Sep 2023 1 repository listed
  We present a novel framework for learning system design with neural feature extractors.
• Some notes concerning a generalized KMM-type optimization method for density ratio estimation
  14 Sep 2023 1 repository listed
  In the present paper we introduce new optimization algorithms for the task of density ratio estimation.
• Computing high-dimensional optimal transport by flow neural networks
  19 May 2023 1 repository listed
  Computing optimal transport (OT) for general high-dimensional data has been a long-standing challenge.
• Toward Asymptotic Optimality: Sequential Unsupervised Regression of Density Ratio for Early Classification
  20 Feb 2023 1 repository listed
  Theoretically-inspired sequential density ratio estimation (SDRE) algorithms are proposed for the early classification of time series.
• Low Variance Off-policy Evaluation with State-based Importance Sampling
  7 Dec 2022 1 repository listed Syntology ran 0 of 7 samples · 7 unverified
  In many domains, the exploration process of reinforcement learning will be too costly as it requires trying out suboptimal policies, resulting in a need for off-policy evaluation, in which a target policy is evaluated…
• Batch Bayesian optimisation via density-ratio estimation with guarantees
  22 Sep 2022 1 repository listed
  Bayesian optimisation (BO) algorithms have shown remarkable success in applications involving expensive black-box functions.
• SIXO: Smoothing Inference with Twisted Objectives
  13 Jun 2022 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  Sequential Monte Carlo (SMC) is an inference algorithm for state space models that approximates the posterior by sampling from a sequence of target distributions.
• MBORE: Multi-objective Bayesian Optimisation by Density-Ratio Estimation
  31 Mar 2022 1 repository listed
  In this work we present MBORE: multi-objective Bayesian optimisation by density-ratio estimation, and compare it to BO across a range of synthetic and real-world benchmarks.
• Positive-Unlabeled Classification under Class-Prior Shift: A Prior-invariant Approach Based on Density Ratio Estimation
  11 Jul 2021 1 repository listed
  Learning from positive and unlabeled (PU) data is an important problem in various applications.
• Featurized Density Ratio Estimation
  5 Jul 2021 1 repository listed
  Density ratio estimation serves as an important technique in the unsupervised machine learning toolbox.
• Mandoline: Model Evaluation under Distribution Shift
  1 Jul 2021 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  If an unlabeled sample from the target distribution is available, along with a labeled sample from a possibly different source distribution, standard approaches such as importance weighting can be applied to estimate…
• The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
  28 May 2021 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  We propose a model for multiclass classification of time series to make a prediction as early and as accurate as possible.
• Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable
  20 Mar 2021 1 repository listed
  When sampling from CcGANs, the superiority of cDR-RS is even more noticeable in terms of both effectiveness and efficiency.
• BORE: Bayesian Optimization by Density-Ratio Estimation
  17 Feb 2021 1 repository listed
  Bayesian optimization (BO) is among the most effective and widely-used blackbox optimization methods.
• Telescoping Density-Ratio Estimation
  22 Jun 2020 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  Density-ratio estimation via classification is a cornerstone of unsupervised learning.
• Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
  12 Jun 2020 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Density ratio estimation (DRE) is at the core of various machine learning tasks such as anomaly detection and domain adaptation.
• Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation
  17 Jan 2020 1 repository listed
  The goal of the change-point detection is to discover changes of time series distribution.
• Bridging the Gap Between f-GANs and Wasserstein GANs
  1 Jan 2020 1 repository listed
  Generative adversarial networks (GANs) variants approximately minimize divergences between the model and the data distribution using a discriminator.
• Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss
  24 Sep 2019 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Our subsampling methods do not rely on the optimality of the discriminator and are suitable for all types of GANs.
• Fisher Efficient Inference of Intractable Models
  18 May 2018 1 repository listed Syntology ran 0 of 14 samples · 14 unverified
  For example, the asymptotic variance of MLE solution attains equality of the asymptotic Cram{\'e}r-Rao lower bound (efficiency bound), which is the minimum possible variance for an unbiased estimator.
• Trimmed Density Ratio Estimation
  9 Mar 2017 1 repository listed
  Density ratio estimation is a vital tool in both machine learning and statistical community.

Syntology lines on 12 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.