Summary of Modified Meta-thompson Sampling For Linear Bandits and Its Bayes Regret Analysis, by Hao Li et al.
Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysisby Hao Li, Dong Liang,…
Modified Meta-Thompson Sampling for Linear Bandits and Its Bayes Regret Analysisby Hao Li, Dong Liang,…
Statistical Mechanics of Min-Max Problemsby Yuma Ichikawa, Koji HukushimaFirst submitted to arxiv on: 9 Sep…
A Dual-Path neural network model to construct the flame nonlinear thermoacoustic response in the time…
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN Networksby Xin Tan, Meng…
Interactive incremental learning of generalizable skills with local trajectory modulationby Markus Knauer, Alin Albu-Schäffer, Freek…
K-Fold Causal BART for CATE Estimationby Hugo Gobato Souto, Francisco Louzada NetoFirst submitted to arxiv…
Breaking Neural Network Scaling Laws with Modularityby Akhilan Boopathy, Sunshine Jiang, William Yue, Jaedong Hwang,…
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrastingby Lirong Wu, Haitao…
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTSby Ashwin Sankar, Srija…
Lepskii Principle for Distributed Kernel Ridge Regressionby Shao-Bo LinFirst submitted to arxiv on: 8 Sep…