Conditional Distribution

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7 papers in the last four weeks, up 133% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

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  1. OPSRD: On-Policy Self-Role Distillation

    Sep 30, 2026Weijie Ren, Yanwen Zhang, Hao Li +3Unsupervised On-Policy Self-DistillationInstruction-Tuned Models

  2. The Geometry of Randomized Smoothing on Feasible Sets

    Sep 30, 2026Syed Izhan Khilji, Alireza Furutanpey, Schahram DustdarSmoothingConditional Distribution

  3. Generative sequence modeling for infinite memory processes via predictive states

    Sep 29, 2026Michael Wieck-Sosa, Cosma Rohilla ShaliziNext-State PredictionSequence Modeling

  4. Multi-Task Learning of Conditional Mean Operators: applications to dynamical systems and uncertainty quantification

    Sep 28, 2026Sami Chemlal, Thibaut Germain, Rémi Flamary +2Uncertainty QuantificationConditional Distribution

  5. Conditional Tensor Diffusion: Distributional Counterfactual Learning and Inference

    Sep 22, 2026Xinbing Kong, Zeyu Li, Junfan Mao +1Causal InferencesConditional Distribution

  6. When Metropolis and Hastings Meet Bradley and Terry: Exact MCMC From Preference Voting

    Sep 1, 2026Ariel Smogorghevski, Nir Rosenfeld, Yaniv RomanoMarkov Chain Monte CarloConditional Distribution

  7. A Local Sinkhorn Framework for Conditional Distribution Reconstruction of Multidimensional Random Fields

    Aug 12, 2026Mingtao Xia, Qijing ShenFused Sinkhorn-Localized SimilarityConditional Distribution

  8. Do AI Forecast Ensembles Sample the Correct Conditional Distribution?

    Aug 9, 2026Lucas J. Howard, Elizabeth A. BarnesLarge Language Model ForecastingConditional Distribution

  9. A cylindrical neural approximation theorem for conditional laws of McKean-Vlasov equations with common noise

    Aug 8, 2026Nacira Agram, Reda Hmioui, Jan RemsNeural ApproximationsFokker--Planck Equation

  10. Simulation-free and finite-time diffusion model

    Aug 4, 2026Kentaro Kaba, Masayuki Ohzeki, Yuki SughiyamaDiffusion ModelsConditional Distribution

  11. Error Analysis of Neural-Network-Based Engression

    Jul 30, 2026Juntong Chen, Zijian Guo, Xinwei ShenNeural ApproximationsEqual Error Rate

  12. Semi-Supervised Conditional Diffusion via Label Augmentation

    Jul 18, 2026Jin Su, Yuan Gao, Yong Zhou +1Text-Conditioned Diffusion ModelDiffusion Models

  13. A Semiparametric Framework for Stochastic Fundamental Diagram Modeling

    Jul 17, 2026Pengnan Chi, Xiaoliang Ma, Magnus Jansson +1TrafficStochastic

  14. Parallel gradient boosting for flexible estimation of conditional distributions

    Jul 15, 2026Rémy Chapelle, Nicolas Vayatis, Bruno Falissard +1Multi-Quantile RegressionConditional Distribution

  15. Bet on Features: Anytime-Valid and Feature-Aware Auditing of Conditional Quantile Forecasters

    Jul 13, 2026Ivane Antonov, Sohom Mukherjee, Richard Pibernik +1Quantile RegressionData-Driven Forecasting

  16. Concept Modulation Models: A Unified Framework for Identifiability and Extrapolation

    Jun 16, 2026Soheun Yi, Yizhou Lu, Chandler Squires +1IdentifiabilityLatent Variable

  17. Probabilistic Signature Inversion: Learning Conditional Distributions from Truncated Signatures

    Jun 13, 2026Junoh Kang, Kiseop Lee, Bohyung HanSignaturesConditional Distribution

  18. Implicit Variational Rejection Sampling

    Jun 12, 2026Jian Xu, Shigui Li, Wei Chen +6Variational InferenceRejection Sampling

  19. Conditional Random Ordered Transport Spaces

    Jun 6, 2026Lei Luo, Jian YangDistributionally-Robust OptimizationWasserstein Distance

  20. Scalable Derivative Gaussian Processes via Exact Gradient Reduction

    Jun 1, 2026Hyunseok Seung, Matthias KatzfussGaussian ProcessSurrogate Gradient

  21. Theoretical Analysis of Engression and Reverse Markov Engression

    May 31, 2026Jiaqi Huang, Gongjun Xu, Ji ZhuConditional DistributionMarkov

  22. Semi-Supervised Hypothesis Testing by Betting on Predictions

    May 27, 2026Yaniv Tenzer, Elad Tolochinsky, Yaniv RomanoUnlabeled DataTwo-Sample Testing

  23. LLM-Ideoplasticity: Measuring Ideological Plasticity in the Political Behavior of LLMs as a Context-Conditioned Distribution

    May 26, 2026Adib Sakhawat, Syed Rifat Raiyan, Tahsin Islam +3IdeologyPolitical Discourse

  24. SAGA: A Sequence-Adaptive Generative Architecture for Multi-Horizon Probabilistic Forecasting with Adaptive Temporal Conformal Prediction

    May 18, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundström-Imanov, Hafize Gonca CömertRetrieval-Augmented ForecastingOnline Conformal Prediction

  25. Flow Matching with Optimized Subclass Priors for Medical Image Augmentation

    May 15, 2026Felix Nützel, Mischa Dombrowski, Bernhard KainzData AugmentationChest X-Ray

  26. One Operator for Many Densities: Amortized Approximation of Conditioning by Neural Operators

    May 7, 2026Panos Tsimpos, Edoardo Calvello, Ayoub Belhadji +1Conditional DistributionProbabilistic Operator Learning

  27. Super-Level-Set Regression: Conditional Quantiles via Volume Minimization

    May 7, 2026Sacha Braun, Michael I. Jordan, Francis BachQuantile RegressionConditional Distribution

  28. Conformalized Percentile Interval: Finite Sample Validity and Improved Conditional Performance

    May 4, 2026Ran Zou, Wanrong Zhu, Bin NanConditional DistributionFinite-Sample

  29. Measuring Differences between Conditional Distributions using Kernel Embeddings

    May 4, 2026Peter Moskvichev, Siu Lun Chau, Dino SejdinovicConditional DistributionMaximum Mean Discrepancy

  30. MIRA: A Score for Conditional Distribution Accuracy and Model Comparison

    May 3, 2026Sammy Sharief, Justine Zeghal, Gabriel Missael Barco +3Conditional DistributionBayesian Inference

  31. Robust Conditional Conformal Prediction via Branched Normalizing Flow

    May 3, 2026Rui Xu, Xingyuan Chen, Wenxing Huang +4Online Conformal PredictionNormalizing Flows

  32. Interpretable Quantile Regression by Optimal Decision Trees

    Apr 22, 2026Valentin Lemaire, Gaël Aglin, Siegfried NijssenMulti-Quantile RegressionDecision Trees

  33. Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Models

    Apr 22, 2026Ruihan Zhou, Zishi Zhang, Jinhui Han +2Conditional DistributionLifecycle

  34. Multi-modal Test-time Adaptation via Adaptive Probabilistic Gaussian Calibration

    Apr 21, 2026Jinglin Xu, Yi Li, Chuxiong Sun +3ModalitiesConditional Distribution

  35. Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing

    Mar 17, 2026Saksham Jain, Alex LuedtkeHeterogeneous Treatment EffectsCovariate Balancing

  36. Coarsening Bias from Variable Discretization in Causal Functionals

    Feb 25, 2026Xiaxian Ou, Razieh NabiDiscretizationCoarse

  37. Native Extrapolation Awareness in Flow-Based Conditional Generation

    Feb 13, 2026Constantinos Tsakonas, Serena Ivaldi, Jean-Baptiste MouretFlow ModelsExtrapolation

  38. Parametric and Generative Forecasts of EPEX Day\char45 Ahead Energy Market Curves

    Jan 28, 2026Julian Gutierrez, Redouane SilventeElectricity Price ForecastingElectricity Markets

  39. Imbalance-Robust and Sampling-Efficient Continuous Conditional GANs via Adaptive Vicinal Learning and Auxiliary Regularization

    Aug 3, 2025Xin Ding, Yun Chen, Yongwei Wang +4Conditional GansGenerative Adversarial Network

  40. Probabilistic Approach to Black-Box Binary Optimization with Budget Constraints: Application to Sensor Placement

    Jun 9, 2024Ahmed AttiaBayesian Experimental DesignBlack-Box Optimization