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4,439 records
- Learning to Sparsify Stochastic Linear Bandits
- jNO: A JAX Library for Neural Operator and Foundation Model Training
- Just Previsions
- The Vote-Left Equilibrium: A Deterministic Coordination Strategy for the Faithful in The Traitors
- Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
- BROS: Bias-Corrected Randomized Subspaces for Memory-Efficient Single-Loop Bilevel Optimization
- Signature Approach for Contextual Bandits with Nonlinear and Path-dependent Rewards
- PowerStep: Memory-Efficient Adaptive Optimization via $\ell_p$-Norm Steepest Descent
- Learning-Based Spectrum Cartography in Low Earth Orbit Satellite Networks: A Survey
- LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
- Don't Fix the Basis -- Learn It: Spectral Representation with Adaptive Basis Learning for PDEs
- A Note on Banaszczyk's Inequality
- Optimal Repair Bandwidth and Repair I/O of $(n,n-2,2)$ MDS Array Codes
- A Spectral Framework for Closed-Form Relative Density Estimation
- Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Bellman-Operator Framework
- Kernel-Gradient Drifting Models
- Constant time testability of first-order logic with modulo counting on finitary graphs
- GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms
- Steerable Neural ODEs on Homogeneous Spaces
- Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion
- Muon is Not That Special: Random or Inverted Spectra Work Just as Well
- Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning
- Error whitening: Why Gauss-Newton outperforms Newton
- Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
- MC$^2$: Monte Carlo Correction for Fast Elliptic PDE Solving
- Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
- Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts
- Universal Feature Selection with Noisy Observations and Weak Symmetry Conditions
- CTQWformer: A CTQW-based Transformer for Graph Classification
- HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations
- Deterministically finding an element of large order in $\mathbb{Z}_N^*$
- Minimal Filling Architectures of Polynomial Neural Networks: Counterexamples, Frontier Search, and Defects
- Geometry of Rényi Entropy on the Majorization Lattice
- Asymptotic Hausdorff and Language Similarity
- TreeWidzard: An Engine for Width-Based Dynamic Programming and Automated Theorem Proving
- Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework
- State Canonization and Early Pruning in Width-Based Automated Theorem Proving
- Integro-differential equations in angular stabilization of drone motion by distributed feedback control
- Sheaves as a Means of Maintaining Consistency in Model-based Systems Engineering
- The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
- Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
- A Controlled Study of Memory Hierarchy Transitions in Quantum Circuit Simulation on Apple M4 Pro Unified Memory Architecture
- Higher-Order Equilibrium Tracking for EM-Compressible Online Estimation
- TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection
- Diffusion Restore: Real-Time Markov Chain Monte Carlo Light Transport
- Muon Does Not Converge on Convex Lipschitz Functions
- CATO: Charted Attention for Neural PDE Operators
- Locational Pricing for Generative-AI Services via Token-Flow Market Clearing
- Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
- An Overlapping Schwarz Space-Time Refinement Framework for Material Point Method