by instadatahelp | Sep 4, 2023 | AI Blogs
Predicting stock prices over a long-term period is crucial for various financial purposes such as forecasting volatility, pricing derivatives, hedging, and risk quantification. It is also important for institutional investors to have a liquidity horizon of several...
by instadatahelp | Sep 4, 2023 | AI Blogs
Continuous-Time q-Learning: A Study By Yanwei Jia and Xun Yu Zhou; 24(161):1−61, 2023. Abstract This study focuses on the continuous-time counterpart of Q-learning for reinforcement learning (RL) using the entropy-regularized, exploratory diffusion process formulation...
by instadatahelp | Sep 4, 2023 | AI Blogs
The Rotary Position Embeddings (RoPE) have proven to be successful in encoding positional information in transformer-based language models. However, these models struggle to generalize beyond the maximum sequence length they were trained on. To address this...
by instadatahelp | Sep 4, 2023 | AI Blogs
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching Eliezer de Souza da Silva, Tomasz Kuśmierczyk, Marcelo Hartmann, Arto Klami; 24(67):1−51, 2023. Abstract The choice of prior distributions in Bayesian models used in machine learning...
by instadatahelp | Sep 4, 2023 | AI Blogs
arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our core principles of openness, community, excellence, and user...
