INDEX
Every paper Pith has read and judged, in one searchable index.
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stat.ML arXiv submitted 2026-06-18Bounded noise yields O(log T) regret for linear contextual bandits
Haonan Xu +1 · “Stochastic Linear Contextual Bandits with Bounded Noise: A Set-Membership Approach”
2606.20022 -
stat.ME arXiv submitted 2026-06-18Omitted covariates bias Cox hazard ratios even in RCTs
Ayoub Bifenzi +1 · “Built-in Selection Bias in Proportional Hazards Models with Omitted Covariates: Simulation Evidence and Alternative Approaches”
2606.19982 -
stat.CO arXiv submitted 2026-06-18New PDMP scheme reaches O(d^0.25) scaling
Augustin Chevallier · “Establishing an $\Omega(\sqrt{d})$ complexity lower bound for PDMP samplers and how to break it: a sub-$\sqrt{d}$ algorithm for Gaussian-tailed targets”
2606.19909 -
stat.ME arXiv submitted 2026-06-18Ghosh-Lin and Fine-Gray models fixed under mixed censoring
Thomas H. Scheike +3 · “The Ghosh-Lin and Fine-Gray models for a mix of administrative and random censoring”
2606.19892 -
cs.LG arXiv submitted 2026-06-18Active arm selection removes K from regret in CPT matching markets
Ananya Kunisetty +1 · “Matching Markets meet Cumulative Prospect Theory: Towards Optimal and Adversarially Robust Learning”
2606.19883 -
cs.LG arXiv submitted 2026-06-18Gradient interpolation cuts oracle calls for smooth ERM
Dongmin Lee +2 · “On the Oracle Complexity of Interpolation-Based Gradient Descent”
2606.19878 -
cs.IT arXiv submitted 2026-06-18Doeblin curves bound contraction when coefficient is zero
Dongmin Lee +3 · “Doeblin Curves”
2606.19859 -
math.OC arXiv submitted 2026-06-18MLE from inter-departure times learns core allocations for unknown malleable jobs
Shreehari Anand Bodas +3 · “Dynamic Core Allocation for Malleable Jobs with Unknown Speed-up Parameters”
2606.19789 -
cs.SI arXiv submitted 2026-06-18Degree-biased probe sampling changes link prediction accuracy
Yilin Bi +3 · “Rethinking Sampling Strategy in Link Prediction”
2606.19775 -
stat.AP arXiv submitted 2026-06-18Hazard rates show activity gaps averages overlook
MD Rokibul Hasan +1 · “Covariate-Adjusted Functional Principal Components Analysis for Modeling Hazard Rates of Physical Activity in the US Population”
2606.19760 -
stat.ME arXiv submitted 2026-06-18NNGP model scales haplotype inference to six genetic markers
Imke Botha +5 · “A Bayesian spatio-temporal nearest neighbor Gaussian process model for pooled genetic data”
2606.19743 -
stat.ME arXiv submitted 2026-06-18P-value spacings create pseudo-labels for FDR calibration checks
Adway S. Wadekar +1 · “Calibration without labels in multiple testing”
2606.19737 -
math.ST arXiv submitted 2026-06-18Beta functions solve Behrens-Fisher distribution exactly
Nagananda K G +1 · “A Laplace equation approach to the Behrens--Fisher problem”
2606.19726 -
stat.ML arXiv submitted 2026-06-18AURA refines LLM judge trust through uncertain-case human review
Zilong Zhang +5 · “AURA: Adaptive Uncertainty-aware Refinement for LLM-as-a-Judge Auditing”
2606.19714 -
cs.LG arXiv submitted 2026-06-17Causal method identifies key subgraphs in GNN outputs
Francisco Caldas +3 · “CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks”
2606.20747 -
stat.CO arXiv submitted 2026-06-17Pooling factor governs hierarchical MCMC mixing
Aidan D. Bindoff · “A Flat Connection: The Pooling Factor and the Geometry of Centring in Hierarchical MCMC”
2606.19655 -
stat.ML arXiv submitted 2026-06-17Silo MCMC beats pooled MCMC at finding small clusters in mixtures
Julie Fendler +4 · “Variational Consensus Monte Carlo for Bayesian Mixture”
2606.19643 -
physics.ao-ph arXiv submitted 2026-06-17Conformal prediction guarantees coverage for AI weather forecasts
Anna Asch +3 · “Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction”
2606.19642 -
cs.AI arXiv submitted 2026-06-17One information matrix determines best pairs to compare for DPO
Jiangze Han +2 · “Which Pairs to Compare for LLM Post-Training?”
2606.19607 -
stat.ML arXiv submitted 2026-06-17Surrogate loss trains predict-then-optimize models without solver calls
Beichen Wan +1 · “A Solver-Free Training Method for Predict-then-Optimize”
2606.19587 -
stat.ME arXiv submitted 2026-06-17MLShrink ties excess denoising risk to classifier errors on middle band
Dixon Vimalajeewa +2 · “Machine Learning Integrated in Wavelet Shrinkage (MLShrink)”
2606.19580 -
stat.ME arXiv submitted 2026-06-17CDF-derived rules form flexible wavelet shrinkage family
Dixon Vimalajeewa +4 · “SCOPE Shrinkage: A Unified Framework for Wavelet Denoising”
2606.19572 -
stat.ME arXiv submitted 2026-06-17EigenBayes shrinks superfluous factors via adaptive spectral shrinkage
Lorenzo Mauri +1 · “Overfitted high-dimensional matrix factorizations via adaptive spectral shrinkage”
2606.19540 -
cs.LG arXiv submitted 2026-06-17LayerNorm scale parameters encode exact dead directions
Tejas Pradeep Shirodkar +1 · “Algebraic Dead Directions in LayerNorm Transformers: A Forward-Pass-Only Diagnostic at LLM Scale”
2606.19491 -
math.PR arXiv submitted 2026-06-17Two stick-breaking forms for normalized inverse Gaussian recovered from earlier results
Annalisa Cerquetti · “On two overlooked stick-breaking constructions of the normalized inverse Gaussian process”
2606.19306 -
stat.AP arXiv submitted 2026-06-17Territorial rules cut agent dispersion time by 99% on big networks
Li Zeng +1 · “Accelerating Network-Agent Dispersion: Territorial Behavior and Directionally Biased Lazy Random Walks”
2606.19294 -
math.ST arXiv submitted 2026-06-17Patnaik-Pearson dimension aligns tail exponents with HTSR for power-law weights
Tom Hadfield · “Patnaik-Pearson intrinsic dimension for internal representations of neural networks”
2606.19268 -
math.ST arXiv submitted 2026-06-17Patnaik-Pearson dimension matches spectral tail exponents in networks
Tom Hadfield · “Patnaik-Pearson intrinsic dimension for internal representations of neural networks”
2606.19268 -
cs.AI arXiv submitted 2026-06-17MapReduce reduce is a Boltzmann partition function
Yossi Eliaz · “Evidence-Aware MapReduce for Forkable Compute”
2607.09689 -
cs.AI arXiv submitted 2026-06-17Reducer stops repeated evidence from becoming false consensus
Yossi Eliaz · “Evidence-Aware MapReduce for Forkable Compute”
2607.09689 -
cs.LG arXiv submitted 2026-06-17Pareto dashboard shows trade-offs among performance
Samuel Stricker +6 · “A Human-in-the-Loop Bayesian Optimization Framework for Constraint-Aware Bioprocess Development”
2606.19230 -
stat.ML arXiv submitted 2026-06-17Largest generalised eigenvalue bounds semantic attack shift
Martin Anthony +1 · “Generalised Eigenvalue Geometry of Semantic Adversarial Attacks”
2606.19212 -
stat.ML arXiv submitted 2026-06-17Pairwise scores mix uniqueness
Potito Aghilar +5 · “The Representational Limit of Scalar Interactions: An Interventional Decomposition”
2606.19410 -
cs.LG arXiv submitted 2026-06-17Heavy ball keeps SGD compute efficiency over sqrt(kappa) larger batches
Depen Morwani +3 · “Compute Efficiency and Serial Runtime Tradeoffs for Stochastic Momentum Methods”
2606.19179 -
stat.CO arXiv submitted 2026-06-17Direct relocation computes Wasserstein medians with fewer transport solves
Kisung You +2 · “Fast Computation of Free-Support Wasserstein Medians”
2606.19148 -
stat.ML arXiv submitted 2026-06-17Local bands certify safe model updates
Mingzhi Song · “On Local Population-Risk Certificates”
2606.19147 -
stat.ML arXiv submitted 2026-06-17Cross-fitted calibration bounds local risk increments uniformly
Mingzhi Song · “On Local Population-Risk Certificates”
2606.19147 -
cs.LG arXiv submitted 2026-06-17Graph-informed NCDEs cut forecasting error on networks
Michael Detzel +5 · “INDEQS: Informed Neural controlled Differential EQuationS”
2606.19138 -
eess.AS arXiv submitted 2026-06-17Continuous speech beats vowels for Parkinson's detection
Rujia Li +3 · “Continuous-Speech Parkinson's Disease Detection Using Acoustic and Inharmonicity Features”
2606.19125 -
stat.ME arXiv submitted 2026-06-17Wasserstein barycenters give sqrt regret for distributional policy learning
Yiyan Huang +3 · “Wasserstein Policy Learning for Distributional Outcomes”
2606.19117 -
cs.LG arXiv submitted 2026-06-17Jensen gap bounds PAC-Bayes cost to deterministic predictors
Alexandre Lemire Paquin +2 · “Smoothness-Based Derandomization of PAC-Bayes Bounds”
2606.19105 -
cs.LG arXiv submitted 2026-06-17Smoothness derandomizes PAC-Bayes bounds via Jensen gap cost
Alexandre Lemire Paquin +2 · “Smoothness-Based Derandomization of PAC-Bayes Bounds”
2606.19105 -
stat.AP arXiv submitted 2026-06-17Context-aware model cuts diabetes follow-up costs up to 35 percent
Parisa Lotfibagha +4 · “Context-Aware Optimization of Follow-Up Intervals for Type 2 Diabetes Care Using Markov Decision Processes”
2606.19092 -
stat.ME arXiv submitted 2026-06-17Ethnic density percentages mean different things by group
Joseph Lam · “What does ethnic density represent? Spatial co-occurrence networks of a widely used contextual measure using harmonised UK small-area census data”
2606.19087 -
stat.ME arXiv submitted 2026-06-17Dependence uncertainty widens risk model output bounds
Rowan Iskandar · “Probability Bound Analysis for Dependence Uncertainty in Risk and Decision Models”
2606.19086 -
math.ST arXiv submitted 2026-06-17Sobolev balls give minimax score rates on the torus
Thomas Bonis +2 · “Optimal score function estimation via derivatives constraints”
2606.19084 -
math.ST arXiv submitted 2026-06-17Sobolev ball yields minimax rates for score estimation on torus
Thomas Bonis +2 · “Optimal score function estimation via derivatives constraints”
2606.19084 -
stat.ME arXiv submitted 2026-06-17Laplacian matrix completion recovers covariance from fragmented 2D data
Teresa Bortolotti +4 · “Regularized covariance estimation from partially observed interferometric data”
2606.19065 -
stat.ML arXiv submitted 2026-06-17Partial transport fixes LLM judge bias using limited human positives
Zilong Zhang +3 · “Quantifying and Auditing LLM Evaluation via Positive--Unlabeled Learning”
2606.19057 -
q-fin.CP arXiv submitted 2026-06-17Simulation ties loan production to dynamic credit forecasts
Marcel Muller +2 · “An extendable, integrated, and dynamic approach to forecasting and stress-testing credit risk”
2606.19052