Summary of Asymptotic Time-uniform Inference For Parameters in Averaged Stochastic Approximation, by Chuhan Xie et al.
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximationby Chuhan Xie, Kaicheng Jin, Jiadong Liang,…
Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximationby Chuhan Xie, Kaicheng Jin, Jiadong Liang,…
2-Rectifications are Enough for Straight Flows: A Theoretical Insight into Wasserstein Convergenceby Saptarshi Roy, Vansh…
Neural Radiance Field Image Refinement through End-to-End Sampling Point Optimizationby Kazuhiro Ohta, Satoshi OnoFirst submitted…
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equationby…
Testing the Efficacy of Hyperparameter Optimization Algorithms in Short-Term Load Forecastingby Tugrul Cabir Hakyemez, Omer…
Topological obstruction to the training of shallow ReLU neural networksby Marco Nurisso, Pierrick Leroy, Francesco…
Soft-Label Integration for Robust Toxicity Classificationby Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang…
Baichuan Alignment Technical Reportby Mingan Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Tao…
A Systematic Survey on Large Language Models for Algorithm Designby Fei Liu, Yiming Yao, Ping…
Building Trust in Black-box Optimization: A Comprehensive Framework for Explainabilityby Nazanin Nezami, Hadis AnahidehFirst submitted…