Delve into the cutting edge of Artificial Intelligence with our dedicated Research Paper section.
![[2402.15171] Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits](http://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png "[2402.15171] Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits"){kind=logo}
[Submitted on 23 Feb 2024 (v1), last revised 15 Nov 2024 (this version, v4)] View a PDF of the paper titled Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits, by Julien Zhou (Thoth and 6 other authors View PDF…
[Submitted on 3 Oct 2023 (v1), last revised 15 Nov 2024 (this version, v2)] View a PDF of the paper titled A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration, by Zijun Liu and 4 other authors View PDF HTML…
[Submitted on 4 Jun 2024 (v1), last revised 15 Nov 2024 (this version, v2)] View a PDF of the paper titled Graph Neural Networks Do Not Always Oversmooth, by Bastian Epping and 3 other authors View PDF HTML (experimental) Abstract:Graph…
[Submitted on 2 May 2024 (v1), last revised 15 Nov 2024 (this version, v3)] View a PDF of the paper titled MANTIS: Interleaved Multi-Image Instruction Tuning, by Dongfu Jiang and 6 other authors View PDF HTML (experimental) Abstract:Large multimodal models…
[Submitted on 4 Jul 2024 (v1), last revised 15 Nov 2024 (this version, v3)] View a PDF of the paper titled SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection, by Zongxiang Hu and 2 other…
[Submitted on 23 May 2024 (v1), last revised 15 Nov 2024 (this version, v3)] View a PDF of the paper titled EHRMamba: Towards Generalizable and Scalable Foundation Models for Electronic Health Records, by Adibvafa Fallahpour and 5 other authors View…
Causal Discovery with Generalized Linear Models through Peeling Algorithms Minjie Wang, Xiaotong Shen, Wei Pan; 25(310):1−49, 2024. Abstract This article presents a novel method for causal discovery with generalized structural equation models suited for analyzing diverse types of outcomes, including…
Spectral Regularized Kernel Goodness-of-Fit Tests Omar Hagrass, Bharath K. Sriperumbudur, Bing Li; 25(309):1−52, 2024. Abstract Maximum mean discrepancy (MMD) has enjoyed a lot of success in many machine learning and statistical applications, including non-parametric hypothesis testing, because of its ability…
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality François G. Ged, Maria Han Veiga; 25(308):1−52, 2024. Abstract A novel Policy Gradient (PG) algorithm, called Matryoshka Policy Gradient (MPG), is introduced and studied, in the context of fixed-horizon max-entropy…
Stochastic Regularized Majorization-Minimization with weakly convex and multi-convex surrogates Hanbaek Lyu; 25(306):1−83, 2024. Abstract Stochastic majorization-minimization (SMM) is a class of stochastic optimization algorithms that proceed by sampling new data points and minimizing a recursive average of surrogate functions of…
Non-Euclidean Monotone Operator Theory and Applications Alexander Davydov, Saber Jafarpour, Anton V. Proskurnikov, Francesco Bullo; 25(307):1−33, 2024. Abstract While monotone operator theory is often studied on Hilbert spaces, many interesting problems in machine learning and optimization arise naturally in finite-dimensional…
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach Weinan Wang, Bowen Gang, Wenguang Sun; 25(304):1−59, 2024. Abstract Multistage design has been utilized across a variety of scientific fields, enabling the adaptive allocation of sensing resources to effectively…