Recent Posts
- Reinforcement Learning for Continuous-Time Optimal Execution
Dec 2023
Slides from a lecture I gave for a reading group at Columbia on stochastic control and reinforcement learning - Hawkes Processes and Time Clustering in Finance
Jun 2023
Brief discussion on Hawkes processes, a class of self-exciting point processes - Separation Capacity of Randomly Initialized Deep Neural Networks.
May 2023
Technical report written for EECS 6699: Mathematics of Deep Learning, with Harold Haodong Miao, Weitao Zhu - Trading in the Limit Order Book with CNN-LSTM
Jul 2022
Using deep learning to extract order flow information from the limit order book and forecast directional moves