AI News

PU classification under Non-SCAR: clustering-assisted logistic model with oversampling enhancement (arxiv.org)

From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift (arxiv.org)

A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization (arxiv.org)

Shapley Value Estimation for Multi-Site Data with Blockwise-Missing Features (arxiv.org)

Steady-State Convergence of Stochastic Approximation (arxiv.org)

Data Attribution at Scale via Influence Matrix Estimation (arxiv.org)

Conformal Individual Treatment Effect Estimation under Networked Interference (arxiv.org)

ReLU Neural Network Approximation to Smooth Functional Operator: Dimensional Decay and Error Analysis (arxiv.org)

Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression (arxiv.org)

Quenched Ensemble Sampling (arxiv.org)

Chemical and geometric representation fidelity improves drug--target affinity prediction (arxiv.org)

Harnessing human expertise for high-precision robotic assembly in industrialized construction: A sample-efficient installer-in-the-loop interactive reinforcement learning framework (arxiv.org)

Adaptive Conformal Redistribution for Inter-class Transitional Uncertainty in Medical Image Classification (arxiv.org)

Converge Then Diversify: Decoupling Convergence and Diversity in Multi-Objective Bayesian Optimisation (arxiv.org)

Certifiably Interpretable Training of ReLU-MLPs for Boolean Tasks with Guaranteed Truth-Table Generalization (arxiv.org)

Toward Optimal Switching Regret for Multi-Armed Bandits with Oblivious Adversary (arxiv.org)

Synthetic Nearest Neighbors: Extending Synthetic Controls for Matrix Completion with Missing Not at Random Data (arxiv.org)

Assumption-Lean Inference for Spectral Differential Network Analysis of High-Dimensional Time Series (arxiv.org)

Curvature-Independent Regret Bounds for Distributed Online Optimization on Hadamard Manifolds (arxiv.org)

Online Bayesian Node Classification on Inductive Graphs under Distribution Shift (arxiv.org)

On the Equivalence of Stochastic Control and Path Space Formulations for Schr\"odinger Bridges over Compact Connected Lie Groups (arxiv.org)

Equilibrium bias and convergence in augmented primal--dual dynamics with sampled constraints (arxiv.org)

Linear Ensemble Sampling with Smaller Ensembles (arxiv.org)

Riemannian ascent--descent for nonconvex nonconcave minimax landscapes: convergence to basin saddle points and applications to distributionally robust optimization (arxiv.org)

On Large-Scale Multiple Testing Over Networks: A Non-Asymptotic Approach (arxiv.org)

Nonparametric Variance-Penalized Actor-Critic: Statistical Inference for Risk-Sensitive Reinforcement Learning (arxiv.org)

Distributed Fast Fixed-Point Algorithms for Composite Monotone Inclusions over Networks (arxiv.org)

Structured Features Overfit Where Random Features Grok (arxiv.org)

Bandits with Probing: Optimal Regret and the Limits of Winner Feedback (arxiv.org)

Modeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) Model (arxiv.org)

On Detecting Multiple Simultaneous Change-points in High Dimensional Non-Stationary Time Series (arxiv.org)

Sharp Rates and a One-Line Correction for Spectral Representation Learning (arxiv.org)

Unfair Utilities and First Steps Towards Improving Them (arxiv.org)

Stochastic Gradient Descent for Operator Learning in Hilbert Spaces: Convergence Rates and Minimax Lower Bounds (arxiv.org)

Graph Matching Relaxations and Amortization for Supervised Graph Prediction (arxiv.org)

Predictive Likelihood Ratios for Language Model Watermark Detection (arxiv.org)

Direct Conditional Transition Sampling for Diffusion Inverse Problems (arxiv.org)

Neural Operators for Nonlinear Functionals on RKHS (arxiv.org)

Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA (arxiv.org)

Exact Recovery by Neighborhood Smoothing in Directed Stochastic Block Models (arxiv.org)

Optimal Learning Rate Schedules under Functional Scaling Laws: Power Decay and Warmup-Stable-Decay (arxiv.org)

Design of a Deep Learning Credit Risk Early Warning System Integrating Multi-source Heterogeneous Data (arxiv.org)

Token Efficient Task Execution via Application Behavior Modeling for Web Agents (arxiv.org)

ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search (arxiv.org)

Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement (arxiv.org)

Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents (arxiv.org)

Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks? (arxiv.org)

Carbon-Aware Routing for Function Calling in Edge-Cloud LLM Systems (arxiv.org)

LabAgent: Customize Any Research Hubs for Scientific Discoveries Using AI Agents (arxiv.org)

TimeThink: Eliciting Compositional Reasoning in Timeseries Large Language Models (arxiv.org)