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Every paper Pith has read. Search by title, abstract, or pith.
1862 papers in stat · page 1
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Orthogonal transformations keep weight singular values fixed
Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation
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Sampler matches smooth-case rate for composite log-concave densities
A proximal gradient algorithm for composite log-concave sampling
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Bootstrap yields valid CIs for offline RL value functions
Model-based Bootstrap of Controlled Markov Chains
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Conformal prediction optimizes sets without data splits
Multi-Variable Conformal Prediction: Optimizing Prediction Sets without Data Splitting
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Online deferral algorithm manages varying experts with sublinear regret
Online Learning-to-Defer with Varying Experts
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Entropy-maximizing resampling mixes across disconnected manifolds
Manifold Sampling via Entropy Maximization
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Monotone operators approximated via graph convergence
Approximation of Maximally Monotone Operators : A Graph Convergence Perspective
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Pattern tests for independence get explicit null limits
Efficiency of pattern-based independence test
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Surrogates estimate time-dependent failure probabilities efficiently
Time-variant reliability using time-dependent surrogate models
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Budget-coverage policy learning reduces to affine threshold rule
Optimal Policy Learning under Budget and Coverage Constraints
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Self-predicted data calibrates Bayesian regression better than Laplace
Self-Supervised Laplace Approximation for Bayesian Uncertainty Quantification
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Sequential CMI bounds adaptive generalization gaps
Information-Theoretic Generalization Bounds for Sequential Decision Making
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Mixed-frequency synthetic controls reach optimal prediction error
Synthetic Control Method with Mixed Frequency Data
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Score gradients cut simulation needs for neural surrogates
Keeping Score: Efficiency Improvements in Neural Likelihood Surrogate Training via Score-Augmented Loss Functions
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Prior evidence boosts power in sequential multiple testing
Informative Simultaneous Confidence Intervals for Graphical Group Sequential Test Procedures
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Bayesian model links realized volatility to prices for better forecasts
Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
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Laplacian-P-splines yield fast Gamma frailty fits for clustered survival
Laplacian-P-splines for shared Gamma frailty models applied to clustered right-censored time-to-event data
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No single test dominates power across multivariate problems
Power Studies For Two-Sample and Goodness-of-Fit Methods For Multivariate Data
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Laplacian neural operators learn PDE maps with polynomial cost
Approximation Theory of Laplacian-Based Neural Operators for Reaction-Diffusion System
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GNNs output random sets over classes to quantify epistemic uncertainty
Random-Set Graph Neural Networks
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Anchor quantization stabilizes Schrödinger bridge couplings
QDSB: Quantized Diffusion Schr\"odinger Bridges
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Weaker likelihood ratio shapes still give stochastic orders
Stochastic Ordering under Weaker Likelihood-Ratio Shape Conditions
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Bayesian mixture clusters mixed health outcomes with low-rank regressions
Bayesian low-rank latent-cluster regression for mixed health outcomes
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Ensemble models forecast daily tree water use from weather data
An ensemble prediction method for forecasting sap flux density and water-use in temperate trees
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LOFT improves orthogonal fine-tuning via task-aware support selection
LOFT: Low-Rank Orthogonal Fine-Tuning via Task-Aware Support Selection
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Two anchors make reward variance identifiable from preferences
Variance-aware Reward Modeling with Anchor Guidance
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Kernel eigenvalue decay determines random forest rates
Minimax Rates and Spectral Distillation for Tree Ensembles
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Augmented KRR separates linear and nonlinear parts
Adaptive Kernel Ridge Regression with Linear Structure: Sharp Oracle Inequalities and Minimax Optimality
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Counterfactual probability identifies root causes from data
Probability of Root Cause: A Counterfactual Definition and Its Identification
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Nontargeted HPV infections isolate vaccine direct immune effect
Using NonTargeted HPV Infections in Studies with Risk Compensation
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Local clr LIMA detects composition mark clusters better than global averages
Uncovering Local Heterogeneity: Local Summary Characteristics for Spatial Point Processes with Composition-Valued Marks
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W-Flow reaches 1.29 FID in one ImageNet generation step
One-Step Generative Modeling via Wasserstein Gradient Flows
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Partial sharing yields tighter intervals under Byzantine attacks
Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
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Bayesian bootstrap recovers Efron method as special case
Bayesian and Empirical Bayesian Bootstrapping
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Sparse Bayesian KANs achieve near-minimax contraction
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
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MLP scales small-ensemble covariances to cut EnKF error
Machine Learning-Based Covariance Correction for Ensemble Kalman Filter with Limited Ensemble Size
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Active label queries cut U-statistic variance with fixed budget
Learning U-Statistics with Active Inference
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McDiarmid bound removes K-scaling barrier in streaming decision trees
MIST: Reliable Streaming Decision Trees for Online Class-Incremental Learning via McDiarmid Bound
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Corrected audits flag discrimination in every Illinois insurer
Fairness Testing for Algorithmic Pricing
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Noise-subspace estimator matches minimax rate for probabilistic PLS
Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty
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Unified theory supplies non-asymptotic bounds on conditional conformal errors
A Unified Theory of Conditional Coverage in Conformal Prediction with Applications
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Composite function stabilizes training of binary-activation networks
A Composite Activation Function for Learning Stable Binary Representations
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Model-matched designs raise accuracy in plant selection trials
The design of selection experiments using a model-based approach
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Generative model preserves climate variable links at 50x resolution
Generative climate downscaling enables high-resolution compound risk assessment by preserving multivariate dependencies
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Graph independences sharpen causal effect bounds
Exploiting independence constraints for efficient estimation of bounds on causal effects in the presence of unmeasured confounding
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Post-ADC inference restores valid stats after adaptive sampling
Post-ADC Inference: Valid Inference After Active Data Collection
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Calibration algorithms adapt error bounds to unknown non-stationarity
Adaptive Calibration in Non-Stationary Environments
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Vector codebook cuts KV cache to 34x compression at 0.95 similarity
FibQuant: Universal Vector Quantization for Random-Access KV-Cache Compression
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Barrier smoothing yields O(K^{-2/3}) stationarity for constrained bilevel opt
A Barrier-Metric First-Order Method for Linearly Constrained Bilevel Optimization
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PPO reformulated to beat SAC in multi-task RL
TOPPO: Rethinking PPO for Multi-Task Reinforcement Learning with Critic Balancing