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Provably Accurate Shapley Value Estimation via Leverage Score Sampling→Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values

Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values→Provably Accurate Shapley Value Estimation via Leverage Score Sampling

Research

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Provably Accurate Shapley Value Estimation via Leverage Score Sampling2 Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values2 Diversity-Aware Ensemble of Quantum-Classical Models via Combinatorial Fusion Generalized Determinantal Point Processes for Attraction and Repulsion with Distinct Interaction Kernels Bandits with Anytime Knapsacks Graph-Based Heuristics for Minimum Constraint Removal in Cluttered Robot Motion Planning BenCoDiC: A Large-Scale Contextual Cyberbullying Corpus for Bengali Political News Discourse FULL VERSION Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels WaSA: Wavelet Scattering Autoencoders for Unsupervised Offline Detection of Malicious Clients in Federated Learning Overcoming Data Imbalances with Expert Selection Biases zip2zip++: Towards Inference-Time Token Compression with Minimal Quality Loss Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks Contextual Correction of Parallel Draftsfor Speculative Decoding CacheScope: Exact-Compute Allocation for Training-Free Diffusion Acceleration Sonic-AMG: Streaming Human Motion Generation from Spatial Audio AutoIndexer: Flexible-Order Decoding by Training Causal Models on Chains of Edits JEPA-kMMVAE: CSI Prediction for Time-Varying Wireless Channels Some remarks on the connection between generative diffusion and optimal transport Towards the Roof of the World: NLP Progress in Tibetan Languages One Model to Loop Them All: Elastic Latent Recurrence for Language Models Cancerous Backdoor Attack: Gradual Activation via Invisible Tokens and A Stage Controller Accelerating Linear Bandits with Persistent Candidate Sets Towards a Measure Theory of Semantic Information Golden Anchor for Video Generation Bridge Matching Sampler: Scalable Sampling via Generalized Fixed-Point Diffusion Matching On the Rate of Convergence of GD in Non-linear Neural Networks: An Adversarial Robustness Perspective FallGown: A Soft Pneumatic Wearable Device for Fall Prevention Sample-Adaptive Zeroth-Order Post-Training Double-Take: Improving Capacity, Binding, and Selectivity In Long-Context Within Bidirectional Memory When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming Towards Enriching Design-Time Models with Evidence from Simulation and Operational Activities Adaptive Variance Reduction without Knowing Oracle Smoothness GlucoPRISM: Protocol-Supervised Pretraining for Cross-Cohort Glucose Transfer Model-agnostic Knowledge Augmented Machine Learning for Weakly Annotated Bioimaging Data SWEAR: Section-Wise Efficient Audio Reasoning via Self-Rated Difficulty Cooperative Aerial Transportation of a Payload with a Sliding Cable Attachment REDaCT: Collapse-Free Unlearning in Large Reasoning Models Mesh-Native Tokenisation: Retrofitting Foundation Models to Unstructured Data Towards Safer Cities: A Design Process for Perception Datasets in Urban Driving Scenarios EchoTab: Learning Measurement-Grounded Representations for Echocardiographic Diagnosis through Tabular Reconstruction Test-Time Memory Construction Approximation of differential entropy in Bayesian optimal experimental design NucleoNet: A Nuclear-Aware Determinant Ansatz for Multi-Geometry Neural Variational Monte Carlo Development of a Low-Cost Prosthetic Hand Using Electromyography and Machine Learning Towards Defining, Measuring, and Leveraging Creativity in AI Applications AI Models Can Provably Hide Arbitrary Capabilities MHR-Router: Multimodal Heterogeneous Retrieval-Enhanced Adaptive Routing for VLM Inference Kronecker Product Attention: Memory-Efficient KV Compression via Structured Factorization Studying Comics at Scale with Artificial Intelligence: The PAGE Framework and Three Studies of American Comics and Japanese Manga Training User Simulators with Latent Intrinsic Feedback COFFEQA: Counterfactual-Guided Few-Shot Distillation for LLM Question Answering Beyond Semantic IDs: Finite-Beam Reachability and Continuous-Query Generation in Generative Recommendation Beyond Prediction-Set Size: Quantifying Conformal Uncertainty through Credal Geometry Multimodal Image-based Robotic Assistance and Guidance Environment (MIRAGE): A Novel Unified Framework for Surgical Navigation and Visualization Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification Error Rate is Not Enough: Costs of Augmentation in Low-Resource ASR Monarch-MoE: Structured Experts for Multimodal Continual Instruction Tuning S-Space: Exploring Spatial Workspace in Multimodal Language Models Asymptotic Analysis of Discrete-Time Self-Attention Dynamics in Transformers Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models Robust and Scalable UAV-UGV Planning for Aerial Monitoring under Energy and Precedence Constraints Finite-Sample Guarantees for Fully Discrete Conditional Diffusion Models KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache Reuse Model-free Bayesian Clustering and Multimodal Posterior Summarisation Critical Mass: Structure-Disjoint Splits Drift With the Libraries They Are Built On Same Query, Different Answer: Run-to-Run Variance in Semantic Query Processing Vocal Intensity Conversion with Continuous SPL Control via Adversarial Training Controlled-Minimax: Stabilizing Adversarial Optimization via Control Theory Understanding Mamba-3 Through Oscillatory Dynamics Surrogate Graph Partitioning for Spatial Prediction Image-Based Path-Planning for Navigation of Soft-Growing Robots in the Spinal Sub-Arachnoid Space The Evidence Anchoring Boundary: Where Visual Interventions Matter and When They Help in Multimodal LLMs Provenance-grouped protocol for evaluating machine learning in perovskite photovoltaics From Structure to Validity: Mechanism-Guided Generation and Refinement of LLM Rubrics CRM: Retrieval Model with Controllable Condition Lower Bounds for Randomized Linear-Oracle Optimization over Strongly Convex Sets Lesion-DDPM: Lesion-Enhanced 3D Diffusion for MS MRI Synthesis Robust Langevin Sampling under State-Dependent Heavy-Tailed Noise with Applications to LLM Fine-Tuning Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRM AI-Mediation in Retail Markets: Revenue Effects and Assortment Optimization Target-Constrained Pooling for Trajectory Extrapolation Verifier-Mediated Multi-LLM Coordination for Multi-Robot Path Planning A Critical Look at Power Sampling when Test Time Sharpening LLMs Learning Size Independent Constraint Models from Input Data and Positive and Negative Example Solutions CircuitTree: Composing Circuits into A Syllable Transcriber Probabilistic Forecasting of Electric Vehicle Charging in a Time-varying Hierarchical Infrastructure Linearized Wasserstein dimensionality reduction with approximation guarantees Kairos: Toward a Byte-Level Foundation Model for Every Modality Designing Protein Structures from Natural Language Scalable Sparse Autoregressive Variational Inference for Non-Gaussian Spatial Fields