Key papers

• Achieving Almost Exact Recovery in Almost Quadratic Time: Rank-Based Graph Matching via Local Tree Correlation Tests (2026)
  Jiale Cheng et al.
  5.01
• Learnable Weighting of Intra-Attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes (2026)
  Yiqun Zhang et al.
  4.39
• K-ABENA: K-Adaptive Backpropagation with Error-based N-exclusion Algorithm : (Compensated Loss-Based Sample Exclusion with Unbiased Gradient Estimation) (2026)
  Jean-Francois Bonbhel
  4.39
• Geometric mean-based pairwise comparison method with the reference values -- statistical approach (2026)
  Konrad Ku{\l}akowski et al.
  4.39
• Exact and Certified Data Shapley for Weighted k-Nearest-Neighbor Regression and Soft-Label Prediction (2026)
  Zongye Lyu
  4.39
• Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study (2026)
  Kaihua Ding
  4.39
• On the Order-Conditional Optimality of Gaffke's Bound (2026)
  George Bissias et al.
  4.39
• An Explicit Counterexample to Stanley's Rankwise Lower-Bound Conjecture for Differential Posets (2026)
  Xinan Dai et al.
  4.39
• Variance-Preserving Orthogonal Selection (VPOS): Greedy Feature Selection via Orthogonal Deflation in PCA Loading Space (2026)
  Baran Koseoglu et al.
  4.39
• Directional Influence Function: Estimating Training Data Influence in Constrained Learning (2026)
  Xin Wang (Jeff) et al.
  4.39
• Distributed Convolutional Rank Regression over Decentralized Networks (2026)
  Chunjing Li et al.
  4.39
• Data-dependent Evaluations for Budgeted Submodular Maximization (2026)
  Lejian Zhang et al.
  3.51
• MixCIT: A Kernel Based Local-Polynomial Debiased Test for Conditional Independence on Mixed-Type Data (2026)
  Mengxiao Gao et al.
  3.51
• Accelerated Mixing Time of Randomized Hamiltonian Monte Carlo (2026)
  Siddharth Mitra et al.
  3.51
• Mixing-Free and Signal-Optimal Learning of Gaussian Graphical Models from Glauber Dynamics (2026)
  Vignesh Tirukkonda et al.
  3.51
• The Tractability Landscape of Sampling with Inexact Scores (2026)
  Anming Gu et al.
  3.51
• Boundary-Adapted PINNs for Elliptic Dirichlet Problems: $H^2(\Omega)$ A Priori Error Bounds with Application to Mean Escape Time Computation (2026)
  Nathanael Tepakbong et al.
  3.51
• ScoreShield: Differentially Private Release of Similarity Scores (2026)
  Behrooz Razeghi et al.
  3.51
• Engine-Equal, Human-Unequal: A Reproducible Outcome Skew in Engine-Assessed Equal Chess Positions (2026)
  Jesung Park
  3.51
• Rashomon Alignment (2026)
  Mois\'es Santos et al.
  2.99
• Significance-First Splitting: Aligning Treatment Heterogeneity Detection with Honest Estimation (2026)
  Pantelis Z. Hadjipantelis et al.
  2.00
• EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy (2026)
  Wenxiu Ding et al.
  2.00
• Learning from Local Walks on Dynamic Graphs with Bandit Feedback (2026)
  Sourav Chakraborty et al.
  2.00
• Stronger Memory-Query Tradeoffs for Convex Optimization: The Limitations of Subquadratic Memory (2026)
  Michael Menart et al.
  2.00
• Multiclass Classification without Labels via Posterior Simplex Geometry (2026)
  Rapha\"el Bonnet-Guerrini et al.
  2.00
• Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data (2026)
  Abhinav Chakraborty et al.
  2.00
• The positivity assumption in causal mediation analyses? Checked! (2026)
  Arthur Chatton et al.
  2.00
• Spectral Truncation in Synthetic Control (2026)
  Mojtaba Eslami
  2.00
• Covariate-Adaptive Sample Size Re-estimation for Population-Standardized Historical Control Designs in Single-Arm Trials (2026)
  Keisuke Hanada et al.
  2.00
• Lloyd's $K$-Means Clustering Algorithm Is Frank-Wolfe in Disguise (2026)
  Michael Pokojovy et al.
  2.00
• Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning (2026)
  Jintian Ji et al.
  2.00
• Data Quality Profiling at Scale with Progressive Sampling: A Benchmark for Data-Centric AI Pipelines (2026)
  Laure Berti-Equille
  2.00
• Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance (2026)
  Pei-Hsuan Hsia et al.
  2.00
• PIcsC: Partitioning-Induced Covariate Shift Correction (2026)
  Behraj Khan et al.
  2.00
• Data-Dependent Regret and Polyak Corrections for Constrained Online Convex Optimization (2026)
  Wentao Zhang
  2.00
• Quantum Speedups for Stochastic Optimization with Heavy-Tailed Noise (2026)
  Bin Luo et al.
  2.00
• Mind the Missing Split: Resolving Feature Heterogeneity in Swarm Learning with Random Forests (2026)
  Mohammad Tajabadi et al.
  2.00
• Can a small additional claim lower the premium? Credibility orders for collective risk models (2026)
  Jihyun Park et al.
  2.00
• Generalised Robust Bayes for Joint Inference of Model and Contamination (2026)
  Masahiro Fujisawa et al.
  2.00
• On the magnitude, sign and ranking of recanting-twin path-specific effects (2026)
  Tran Trong Khoi Le et al.
  2.00
• Calculating the Expected Value of Sample Information accounting for missing data (2026)
  Luca Benetti et al.
  2.00
• Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization (2026)
  Zhaojun Peng
  2.00
• Edgington's Combination Method for Two-Study Meta-Analysis: An Empirical Evaluation in 1226 Meta-Analyses (2026)
  Samuel Pawel et al.
  2.00
• Causally Interpretable Meta-Mediation Analysis With Missing At Random Mediator and Outcome Data (2026)
  Marie-F\'elicia Beclin et al.
  2.00
• Bias-corrected Cox regression with AI-extracted covariates via calibration summary statistics (2026)
  Arjun Sondhi
  2.00
• Testing Microbiome Community Differences in High Dimensions: A Bootstrap Approach for Compositional Data (2026)
  Monika Bhattacharjee et al.
  2.00
• Efficient Online Conformal Selection with Limited Feedback (2026)
  Sreenivas Gollapudi et al.
  1.89
• Adaptive Measurement Allocation for Learning Kernelized SVMs Under Noisy Observations (2026)
  Artur Miroszewski
  1.89
• Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators (2026)
  Juliette Ortholand et al.
  1.83
• Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease (2026)
  Woojung Bae et al.
  1.83
• Conformal changepoint localization (2026)
  Rohan Hore et al.
  1.72
• Time-Aware Synthetic Control (2026)
  Saeyoung Rho et al.
  1.67
• A Support-Set Algorithm for Optimization Problems with Nonnegative and Orthogonal Constraints (2025)
  Lei Wang et al.
  1.56
• Towards Efficient Inference under Nonmonotone Missingness with General Imputation (2025)
  Qi Xu et al.
  1.44
• A Generalized Tangent Approximation based Variational Inference Framework for Strongly Super-Gaussian Likelihoods (2025)
  Somjit Roy et al.
  1.17
• Cohort-attention Evaluation Metrics for Tied Data (2025)
  Dongjing Jiang et al.
  1.11
• Invariance Pair Guidance: Robustness to Spurious Correlations via Corrective Gradients (2025)
  Martin Surner et al.
  1.06