Learning Resources

Courses & Classes

• Quantum Computing Algorithms
• Complex Analysis
• Partial Differential Equations
• Abstract Algebra
• Bayesian Methods in Machine Learning

Textbooks

• Communication Complexity
• Information Theory
• Machine Learning
• Convex Optimization
• Linear Algebra
• Elements of Statistical Learning

Review Materials

• Variational Inference
• Causal Inference
• Linear Algebra Reference
• Probability Reference
• Data Structures and Algorithms
• CS Math Primers

Favorite Papers

• The Piranha Problem
• P-Hacking
• MapReduce
• CAP Theorem
• Paxos Made Simple
• TensorFlow
• Impediments to Machine Learning
• Conditional Adversarial Networks
• Recent Developments in Bayesian Estimation of Climate Sensitivity
• Distribution Testing
• P vs NP
• High Dimensional Computational Geometry
• Katyusha