Key papers

• Nonconvex Composite Functional Constraints via First-Order Augmented Lagrangian Methods under Local Regularity (2026)
  Linglingzhi Zhu et al.
  5.49
• Deep Gaussian Processes on Directed Acyclic Graphs (2026)
  Federico L. Perlino et al.
  5.49
• Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization (2026)
  Xuefeng Liu et al.
  5.01
• Influence Diagnostics in High-dimensional M-estimation: Precise Asymptotics (2026)
  Hugo Cui
  5.01
• cGAP: Generalized Association Plots with HOMALS-Guided Heatmaps for Visualization of High-Dimensional Categorical Data (2026)
  Chun-houh Chen et al.
  5.01
• Proactive Inpatient Bed Requests for Emergency Department Admissions (2026)
  QIan Cheng et al.
  5.01
• Deep and Probabilistic Models for Gene Regulatory Network Inference (2026)
  Claudia Skok Gibbs
  5.01
• Best-Arm Identification with Generative Proxy (2026)
  Tianyi Ma et al.
  4.39
• Adaptive Bayes exactly tracks information over intrinsic time (2026)
  Akshay Balsubramani
  4.39
• Uncertainty-Aware Sequential Decision Rules for Event-Triggered LLM Invocation in Streaming Systems (2026)
  Zhaohui Wang
  4.39
• DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention (2026)
  Xing Lei et al.
  4.39
• Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations (2026)
  Chon-Fai Kam et al.
  4.39
• Prediction-Only Distillation in Linear and Logistic Regression (2026)
  Hien Dang et al.
  4.39
• Provable diffusion-based posterior sampling for linear inverse problems via DDIM (2026)
  Yuchen Jiao et al.
  4.39
• Total Variation Distance Estimation in Autoregressive Models (2026)
  Eric Price et al.
  4.39
• Deep Shape Regression for Planar Curves with Multimodal Covariates (2026)
  Manuel Pfeuffer et al.
  4.39
• Efficient Clustering with Provable Guardrails for LLM Inference at Scale (2026)
  Longshaokan Wang et al.
  4.39
• Robust Asynchronous Q-Learning under Reward and State Corruption via Batching (2026)
  Sreejeet Maity et al.
  4.39
• Distributional Determinantal Point Process for Repulsive Clustering of Distributions (2026)
  Khai Nguyen et al.
  3.51
• Multiplicity of Stable Attractors in Disordered Neural Models (2026)
  Raffaele Marino et al.
  3.51
• Efficient Recommendations via Graph Coarsening and Label Propagation (2026)
  Alessandro Sbandi et al.
  3.51
• PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest (2026)
  Olafur Gudmundsson et al.
  3.51
• A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function (2026)
  Roberto Rossi
  2.00
• Energy-guided Recursive Model (2026)
  Yifei Zhao et al.
  2.00
• Interpretable Anomaly and Drift Detection with Gaussian Mixture Models (2026)
  Behnam Asadi
  2.00
• FrED: External Data Influence Estimation via Domain Knowledge Graph Grounding (2026)
  Theodoros Aivalis et al.
  2.00
• Local Synaptic Rules Can Implement a SIGReg Gradient Without Backpropagation (2026)
  Martin Andrews
  2.00
• On the Depth Scalability of Logic Gate Networks (2026)
  Taegun An et al.
  2.00
• Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning (2026)
  Julian G. Soltes
  2.00
• Shallower ReLU Network Representations via Exact Linear Algebra (2026)
  Kilian Rue{\ss} et al.
  2.00
• Equilibrium Causal Digital Twins: Validation, Transport, and Identification Limits (2026)
  Faraz Dadgostari et al.
  2.00
• Neural Feature Governance: Extending Atom Prevalence (2026)
  Idris Karel Seunda Ekwe et al.
  2.00
• Self-Poisoning in Adaptive Out-of-Distribution Detection: A Sharp-Threshold Theory and Certified Label-Free Calibration (2026)
  Vishnu Bindu Balachandran
  2.00
• CARNet Cycle-Conditioned Core Aggregation and Redistribution for Multivariate Time Series Forecasting (2026)
  Awsaf Tausif Adib et al.
  2.00
• An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning (2026)
  Maximilian Dax et al.
  2.00
• A Defense of the Quadratic Model (2026)
  Alexandru Meterez et al.
  2.00
• Prior laundering: learned priors with inherited, undetectable overconfidence (2026)
  Ali Siahkoohi et al.
  2.00
• Encoding orders and trees in real-valued functions (2026)
  G Conant et al.
  2.00
• Smart predict-then-robustly-optimize (2026)
  Aakil Caunhye et al.
  2.00
• Natural Invariant Measures for Chaotic Game Dynamics: Finding Order in Chaos (2026)
  Jakub Bielawski et al.
  2.00
• Longitudinal Random Forests for Sparse and Irregular Response Trajectories (2026)
  Yangsheng Wang et al.
  2.00
• Data eccentricity, asymptotics of Gaussian RBF reproducing kernel Hilbert space, and kernel PCA (2026)
  Sergio A. Alvarez
  2.00
• Simulation-Based Empirical Bayes (2026)
  Xinwei Shen et al.
  2.00
• Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression (2026)
  Charles Brum et al.
  2.00
• Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study (2026)
  Kaihua Ding
  2.00
• Variance-Reduced Q-Learning over Static and Time-Varying Networks (2026)
  Sreejeet Maity et al.
  2.00
• Interventional Score Geometry for Causal Inference (2026)
  Mojtaba Eslami
  2.00
• MissHyper: Restoring Clinical Synchronicity in Missingness-Guided Hypergraph Forecasting (2026)
  Mingyi Ma et al.
  2.00
• On the Convergence of Stochastic Low-Rank Adaptation (2026)
  Ru Wang et al.
  2.00
• Unified Static-Dynamic Pruning for Efficient LLM Inference (2026)
  Jinhyeok Kim et al.
  2.00
• From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning (2026)
  Jiaxin Deng et al.
  2.00
• Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits (2026)
  Yuta Natsubori et al.
  2.00
• Spectral Prior for Reducing Exposure Bias in Diffusion Models (2026)
  Yuya Kobayashi et al.
  2.00
• dRAE: Representation Autoencoder with Hyper-Spherical Codes (2026)
  Tianren Ma et al.
  2.00
• Unbiased Open World Regularization for Fair Self-Supervised Learning (2026)
  L{\'e}o Nicollier (CB et al.
  2.00
• From Score Approximation to Distribution Approximation in Score-Based Diffusion Models (2026)
  Lan V. Truong
  2.00
• Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model (2026)
  Ruijian Han et al.
  2.00
• Optimization of time-consuming experimental conditions using pseudo-experimental data guided by adaptive polynomial regression (2026)
  Hirotaka Sugawara et al.
  2.00
• Class-Balanced Softmax: A Bayes Theory-Based Method for Long-Tailed Recognition (2026)
  Yi-Hang Zhu et al.
  2.00
• Explicit Iteration Complexity of Exact Data-Driven Inverse Optimization for Integer Linear Programs (2026)
  Akira Kitaoka
  2.00