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4,439 records
- Rao-Blackwellized Markov chain Monte Carlo Light Transport
- Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers
- Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability
- Towards Scalable Persistence-Based Topological Optimization
- Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
- Sub-Gaussian Concentration and Entropic Normality of the Maximum Likelihood Estimator
- Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks
- Monotone Neural Policy Iteration for High-Dimensional First-Order Hamilton--Jacobi--Bellman Equations
- Relating the Computational and Logical Difficulty of Solving ODEs: From Polynomial to Discontinuous Right-Hand Sides
- TriP: A Triangle Puzzle Approach to Robust Translation Averaging
- Sample Complexity of Stochastic Optimization with Integer Variables
- EPTAS for Hard Graph Cut Problems for Dense Graphs
- Variable Aerodynamic Damping Actuation via Co-Contraction: A Structural Analogy with Variable Stiffness Actuation
- TREA: Low-precision Time-Multiplexed, Resource-Efficient Edge Accelerator for Object Detection and Classification
- QuadNorm: Resolution-Robust Normalization for Neural Operators
- Convex Optimization with Nested Evolving Feasible Sets
- Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
- Well-Quasi-Ordering Eulerian Digraphs: Bounded Carving Width
- SGD for Variational Inference: Tackling Unbounded Variance via Preconditioning and Dynamic Batching
- Direction-Preserving Number Representations
- The Endogeneity of Miscalibration: Impossibility and Escape in Scored Reporting
- Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers
- Computing bases in Hermite normal form of lattices of integer relations
- Neural Operators as Efficient Function Interpolators
- Exploring the non-convexity in machine learning using quantum-inspired optimization
- Convergent Stochastic Training of Multi-Headed Attention and Understanding LoRA
- Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
- Hierarchical Mixture-of-Experts with Two-Stage Optimization
- When Attention Beats Fourier: Multi-Scale Transformers for PDE Solving on Irregular Domains
- Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit
- Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL
- Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
- Transformers Can Implement Preconditioned Richardson Iteration for In-Context Gaussian Kernel Regression
- Scaling Limits of Long-Context Transformers
- Algorithmic Phase Transition for Large Independent Sets in Dense Hypergraphs
- From Dual Tracking to Clipping: Provably Faster Distributionally Robust Multi-Objective Optimization
- WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
- Discrete Optimal Transport: Rapid Convergence of Simulated Annealing Algorithms
- DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation
- Quadratic Objective Perturbation: Curvature-Based Differential Privacy
- PREFER: Personalized Review Summarization with Online Preference Learning
- Label Correcting Algorithms for the Multiobjective Temporal Shortest Path Problem
- Sharper Guarantees for Misspecified Kernelized Bandit Optimization
- A Fine-Grained Understanding of Uniform Convergence for Halfspaces
- Matrix-Decoupled Concentration for Autoregressive Sequences: Dimension-Free Guarantees for Sparse Long-Context Rewards
- Geometry-Aware Simplicial Message Passing
- Grokking or Glitching? How Low-Precision Drives Slingshot Loss Spikes
- PACE: Prune-And-Compress Ensemble Models
- INEUS: Iterative Neural Solver for High-Dimensional PIDEs
- CoupleEvo: Evolving Heuristics for Coupled Optimization Problems Using Large Language Models