Abstract: This article examines an online distributed optimization problem over an unbalanced digraph, in which a group of nodes in the network tries to collectively search for a minimizer of a ...
Abstract: In this article, we study constrained online convex optimization (OCO) in the presence of feedback delays, where a decision maker chooses sequential actions without knowing the loss ...
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ai numpy linear-regression probability-distribution logistic-regression perceptron gradient-descent k-nearest-neighbours k-means-clustering sequential-decision-making-problems bigram-model ...
Adithya Mohan , Xujun Xie , Venkatesh Thirugnana Sambandham , Torsten Schön MEMSAD: Gradient-Coupled Anomaly Detection for Memory Poisoning in Retrieval-Augmented Agents Ishrith Gowda (University of ...
B. Cohen, E. Khwaja, Y. Doubli, S. Lemaachi, C. Lettieri, C. Masson, H. Miccinilli, E. Ramé, Q. Ren, A. Rostamizadeh, J. Ogier du Terrail, A.-M. Toon, K. Wang, S ...
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