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arXiv:2506.11214v2 Announce Type: replace-cross Abstract: In this paper, we propose practical normalized stochastic first-order methods with Polyak momentum, multi-extrapolated momentum, and recursive momentum for solving...
arXiv:2506.08926v2 Announce Type: replace-cross Abstract: We prove that any class of graphs with linear neighborhood complexity has bounded improper odd chromatic number. As a result,...
arXiv:2506.07700v2 Announce Type: replace-cross Abstract: This work studies the complexity of refuting the existence of a perfect matching in spectral expanders with an odd number...
arXiv:2506.04518v3 Announce Type: replace-cross Abstract: Speech language models (Speech LMs) enable end-to-end speech-text modeling within a single model, offering a promising direction for spoken dialogue...
arXiv:2505.09803v2 Announce Type: replace-cross Abstract: In many applications, we wish to fit a parametric statistical model to a small ensemble of spatially distributed random variables...
arXiv:2505.04543v2 Announce Type: replace-cross Abstract: A proper $k$-colouring of a graph $G$ is called $h$-conflict-free if every vertex $v$ has at least $\min\, \{h, {\rm...
arXiv:2504.20058v2 Announce Type: replace-cross Abstract: Fluctuations in stock prices are influenced by a complex interplay of factors that go beyond mere historical data. These factors,...
arXiv:2504.03387v2 Announce Type: replace-cross Abstract: The increasing complexity of modern neural network architectures demands fast and memory-efficient implementations to mitigate computational bottlenecks. In this work,...
arXiv:2504.00760v3 Announce Type: replace-cross Abstract: We provide a unique decomposition of every 4-connected graph into parts that are either quasi-5-connected, cycles of triangle-torsos and 3-connected...
arXiv:2503.19925v2 Announce Type: replace-cross Abstract: We consider the problem of signal reconstruction for computed tomography (CT) under a nonlinear forward model that accounts for exponential...
arXiv:2503.02437v2 Announce Type: replace-cross Abstract: This paper addresses the challenge of allocating heterogeneous resources among multiple agents in a decentralized manner. Our proposed method, Liquid-Graph-Time...
arXiv:2502.14121v2 Announce Type: replace-cross Abstract: Designing modern industrial systems requires balancing several competing objectives, such as profitability, resilience, and sustainability, while accounting for complex interactions...
arXiv:2502.09569v3 Announce Type: replace-cross Abstract: We study finite normal-form games in which payoffs are subject to random perturbations and players face uncertainty about how these...
arXiv:2502.07769v2 Announce Type: replace-cross Abstract: We continue the study of the recently-introduced C123-framework, for (simple) graph problems restricted to inputs specified by the forbidding of...
arXiv:2501.17866v3 Announce Type: replace-cross Abstract: The field of brainwave-based biometrics has gained attention for its potential to revolutionize user authentication through hands-free interaction, resistance to...
arXiv:2501.05968v2 Announce Type: replace-cross Abstract: Erd{\H o}s (1963) initiated extensive graph discrepancy research on 2-edge-colored graphs. Gishboliner, Krivelevich, and Michaeli (2023) launched similar research on...
arXiv:2410.23990v3 Announce Type: replace-cross Abstract: This paper deals with the following question: Suppose that there exist an integer or a non-negative integer solution $x$ to...
arXiv:2409.06184v4 Announce Type: replace-cross Abstract: We propose a policy iteration method to solve an inverse problem for a mean-field game (MFG) model, specifically to reconstruct...
arXiv:2407.07295v3 Announce Type: replace-cross Abstract: In medical imaging, the diffusion models have shown great potential for synthetic image generation tasks. However, these approaches often lack...
arXiv:2406.01552v2 Announce Type: replace-cross Abstract: Tensors are a fundamental data structure for many scientific contexts, such as time series analysis, materials science, and physics, among...
arXiv:2404.07593v3 Announce Type: replace-cross Abstract: Identifying the parameters of a non-linear model that best explain observed data is a core task across scientific fields. When...
arXiv:2308.00651v4 Announce Type: replace-cross Abstract: Markov categories have recently turned out to be a powerful high-level framework for probability and statistics. They accommodate purely categorical...
arXiv:2305.19640v3 Announce Type: replace-cross Abstract: In this paper, we are concerned with the generalization performance of non-parametric estimation for pairwise learning. Most of the existing...
arXiv:2304.04724v3 Announce Type: replace-cross Abstract: We analyze the mixing time of Metropolized Hamiltonian Monte Carlo (HMC) with the leapfrog integrator to sample from a distribution...