arXiv:2505.02809v2 Announce Type: replace Abstract: Empirical studies reported that the Hessian matrix of neural networks (NNs) exhibits a near-block-diagonal structure, yet its theoretical foundation remains unclear. In this work, we reveal that the reported Hessian structure comes from a mixture…
arXiv:2509.16324v1 Announce Type: new Abstract: Auto-bidding systems are widely used in advertising to automatically determine bid values under constraints such as total budget and Return-on-Spend (RoS) targets. Existing works often assume that the value of an ad impression, such as…
arXiv:2509.16339v1 Announce Type: new Abstract: We investigate imbalanced regression with tabular data that have an imbalance ratio larger than 1,000 (“highly imbalanced”). Accurately estimating the target values of rare instances is important in applications such as forecasting the intensity of…
arXiv:2509.16293v1 Announce Type: new Abstract: The training scale of large language models (LLMs) has reached tens of thousands of GPUs and is still continuously expanding, enabling faster learning of larger models. Accompanying the expansion of the resource scale is the…
arXiv:2509.16300v1 Announce Type: new Abstract: This paper studies the black-box optimization task which aims to find the maxima of a black-box function using a static set of its observed input-output pairs. This is often achieved via learning and optimizing a…
arXiv:2509.16287v1 Announce Type: new Abstract: The process of pooling vertices involves the creation of a new vertex, which becomes adjacent to all the vertices that were originally adjacent to the endpoints of the vertices being pooled. After this, the endpoints…
arXiv:2509.16277v1 Announce Type: new Abstract: Deep perception networks in autonomous driving traditionally rely on data-intensive training regimes and post-hoc anomaly detection, often disregarding fundamental information-theoretic constraints governing stable information processing. We reconceptualize deep neural encoders as hierarchical communication chains that…
arXiv:2509.16273v1 Announce Type: new Abstract: Virtual screening (VS) aims to identify bioactive compounds from vast chemical libraries, but remains difficult in low-label regimes where only a few actives are known. Existing methods largely rely on general-purpose molecular fingerprints and overlook…
arXiv:2509.17941v1 Announce Type: cross Abstract: This paper considers the problem of enabling robots to navigate dynamic environments while following instructions. The challenge lies in the combinatorial nature of instruction specifications: each instruction can include multiple specifications, and the number of…
arXiv:2509.16345v1 Announce Type: new Abstract: Clinical laboratory tests provide essential biochemical measurements for diagnosis and treatment, but are limited by intermittent and invasive sampling. In contrast, photoplethysmogram (PPG) is a non-invasive, continuously recorded signal in intensive care units (ICUs) that…
