Introduction
Finished List
Bayesian Machine Learning
Deep Learning
Finance/Quant Finance
General CS
General Data Science
Machine Learning
Numerical and Optimization
Traditional Statistics
Books
Broker Reports
Quant Finance Notes
Machine Learning Notes
Temp files
Reading List
Bayesian Machine Learning
Deep Learning
Machine Learning
Numerical and Optimization
Traditional Statistics
Books
Notes
Neural ODE
Relational Dependency Networks
LDA
KSD for Goodness-of-fit Tests
LTK Goodness-of-Fit Test
Sample Complexity Bounds for Gaussian Mixtures
A Complete Recipe for SGMCMC
Sharpe Minima Can Generalize
Large Batch Training and Sharpe Minima
Riemann Manifold Langevin and HMC
Path-SGD: Path-normalized Optimization in Deep Neural Networks
Empirical Analysis of DNN Loss Surfaces
Good Semi-supervised Learning that Requires a Bad GAN
Faster Rates for Frank-Wolfe over Strongly-Convex Sets
The Element of Financial Econometrics
Double machine learning for treatment effect
Part 1: Reinforcement Learning: An Introduction
Part 2: Reinforcement Learning: An Introduction (2)
Trust Region Policy Optimization
Prioritized Experience Replay
A Galtonian Perspective on Shrinkage Estimators
Regression Shrinkage and Selection via the Lasso
Nonparametric Instrumental Regression
Decentralized mining in centralized pools
Majority is not enough: Bitcoin mining is vulnerable
Lazy Prices
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Statistical Inference with M-Estimators on Adaptively Collected Data
Realized Variance and Market Microstructure Noise
Blockchain without waste: Proof-of-stake
Crowdsourced employer reviews and stock returns
A Survey of Attacks on Ethereum Smart Contracts
Technological Links and Predictable Returns
Extrapolative beliefs in the cross-section: What can we learn from the crowds?
Geographic Lead-Lag Effects
Shared Analyst Coverage: Unifying Momentum Spillover Effects
Q-Factor Model
Short- and Long-Horizon Behavioral Factors
Stambaugh-Yuan Four Factors
Chinese NLP
Chinese Stock Market Shell Value
Size and Value
Tracking Retail Investor Activity
Graph Convolution and Graph Attention
P-hacking
General Structures and Techniques in Deep Learning
Temporal Convolutional Network
Which Beta?
Out of Sample Predictability
Multi-factor in Cryptocurrency
Quant Machine Learning
Behavioral Finance
Nonlinear Dimension Reduction
Momentum
Lottery-like Stocks
TabNet
Kaggle Finance Competition Solution Summary
Feature Interaction
ESG
Idiosyncratic Volatility
Volume
Overnight Return Reserval
Neural Architecture Search
Meta Learning
Nominal Price Ilusion
Co-trade Network
Order Imbalance with Trade Flow Decomposition
Time Seris Machine Learning
PEAD
Risk Parity
NLP in Finance
Self-supervised Learning for Tabular Data
Regime Modeling
Financial Statement Related
Deep Learning in Finance
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Introduction
Introduction
Introduction
A list of finished reading (with notes) and something that I intend to read.
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