Product Expansion of Random Codes via Analytic Techniques
arXiv:2610.02512v2 Announce Type: replace Abstract: Beginning with the work of Dinur, Lin, and Vidick (FOCS, 2024), tensor codes with constant product expansion…
EnglisharXiv math.IT
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Quantitative Tiling Stability From Quadratic Discrepancy In Hamming Spaces
arXiv:2608.25716v3 Announce Type: replace Abstract: Quadratic ball discrepancy measures how uniformly a code meets Hamming balls over all centers and radii. Per…
EnglisharXiv math.IT
Finding solutions with the Borsuk-Ulam theorem
arXiv:2610.39092v2 Announce Type: replace-cross Abstract: Many problems in nonlinear analysis, game theory, economics, and geometry have existence proofs based …
EnglisharXiv cs.NA
LAMP: Look-Ahead Mixed-Precision Inference of Large Language Models
arXiv:2601.21623v3 Announce Type: replace-cross Abstract: Mixed-precision computations are a hallmark of the current stage of AI, driving the progress in large …
EnglisharXiv cs.NA
Faster Linear Algebra Algorithms with Structured Random Matrices
arXiv:2508.21189v2 Announce Type: replace-cross Abstract: To achieve the greatest possible speed, practitioners regularly implement randomized algorithms for lo…
EnglisharXiv cs.NA
Impact of metric characteristics of the matrix graph on the convergence of the conjugate gradient method
arXiv:2610.15393v2 Announce Type: replace Abstract: A model of propagation and accumulation of errors caused by round-off errors during conjugate gradient (CG) …
EnglisharXiv cs.NA
Residual-based error control for neural Galerkin reconstruction of minimum-norm wave controls
arXiv:2610.15220v2 Announce Type: replace Abstract: We analyse how errors in independently approximated adjoint waves propagate into the Hilbert Uniqueness Meth…
EnglisharXiv cs.NA
A fully discrete LBRFD-IPDG method for linear fourth-order parabolic equations
arXiv:2608.19250v2 Announce Type: replace Abstract: We propose a fully discrete method for linear fourth-order parabolic equations with Dirichlet boundary condi…
EnglisharXiv cs.NA
Symplectic Hamiltonian Direct Discontinuous Galerkin Method for Wave Propagation
arXiv:2607.10652v2 Announce Type: replace Abstract: This paper presents a symplectic Hamiltonian direct discontinuous Galerkin (DDG) method for approximating wa…
EnglisharXiv cs.NA
Speed limits for information acquisition in stochastic learning dynamics
arXiv:2609.08219v2 Announce Type: replace-cross Abstract: Neural networks acquire internal representations through learning. In this work, we formulate stochast…
EnglisharXiv stat.ML
Deep Barycentric Regression for Optimal Transport Map Estimation and Its Statistical Optimality
arXiv:2609.06598v2 Announce Type: replace-cross Abstract: The optimal transport (OT) map provides a geometric transformation for aligning probability distributi…
EnglisharXiv stat.ML
Geometry-Constrained Kolmogorov-Arnold Networks: Learning Edge Geometry via Banach Duality
arXiv:2608.25807v2 Announce Type: replace-cross Abstract: Kolmogorov-Arnold Networks (KANs) learn univariate functions on edges, making the choice of edge respo…
EnglisharXiv stat.ML
Designing Reinforcement Learning for Diffusion Models: A Unified Path-Space View
arXiv:2608.14430v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) post-training provides a direct way to align diffusion models with human p…
EnglisharXiv stat.ML
Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement
arXiv:2606.08493v4 Announce Type: replace-cross Abstract: Tissue graph counterfactuals ask what a cell would express if its spatial neighborhood were altered, a…
EnglisharXiv stat.ML
Empirical Bayes Rebiasing
arXiv:2605.08069v2 Announce Type: replace-cross Abstract: We study methods for simultaneous analysis of many noisy and biased estimates, each paired with an eve…
EnglisharXiv stat.ML
Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
arXiv:2605.07104v3 Announce Type: replace-cross Abstract: Establishing almost sure convergence rates for stochastic approximation and reinforcement learning und…
EnglisharXiv stat.ML
Learning to Think from Multiple Thinkers: How Chain-of-Thought Heterogeneity Affects Efficient Learnability
arXiv:2604.24737v2 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) supervision makes computationally hard learning problems tractable by exposing …
EnglisharXiv stat.ML
One Method Does Not Fit All: A Large-Scale Benchmark of Imputation Methods for Single-Cell RNA Sequencing Data
arXiv:2603.24626v3 Announce Type: replace-cross Abstract: Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at cellular resolution but is…
EnglisharXiv stat.ML
The Stability of Online Algorithms in Performative Prediction
arXiv:2602.24207v3 Announce Type: replace-cross Abstract: The use of algorithmic predictions in decision-making leads to a feedback loop where the models we dep…
EnglisharXiv stat.ML
Oracle-Robust Online Alignment for Large Language Models
arXiv:2602.20457v2 Announce Type: replace-cross Abstract: We study online alignment of large language models under misspecified preference feedback, where the o…
EnglisharXiv stat.ML