Summary of Stochastic Bandits Robust to Adversarial Attacks, by Xuchuang Wang et al.
Stochastic Bandits Robust to Adversarial Attacksby Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C.S. Lui,…
Stochastic Bandits Robust to Adversarial Attacksby Xuchuang Wang, Jinhang Zuo, Xutong Liu, John C.S. Lui,…
Visual Agents as Fast and Slow Thinkersby Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang,…
PEDAL: Enhancing Greedy Decoding with Large Language Models using Diverse Exemplarsby Sumanth PrabhuFirst submitted to…
A Hassle-free Algorithm for Private Learning in Practice: Don’t Use Tree Aggregation, Use BLTsby H.…
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Seriesby Rithwik Gupta, Daniel Muthukrishna,…
Information-Theoretic Progress Measures reveal Grokking is an Emergent Phase Transitionby Kenzo Clauw, Sebastiano Stramaglia, Daniele…
ASGM-KG: Unveiling Alluvial Gold Mining Through Knowledge Graphsby Debashis Gupta, Aditi Golder, Luis Fernendez, Miles…
Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniquesby…
Electroencephalogram Emotion Recognition via AUC Maximizationby Minheng Xiao, Shi BoFirst submitted to arxiv on: 16…
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Boundsby Zhiyong Wang, Dongruo Zhou,…