Useful Links

Suggestions on Graduate Study

• A List of Suggestions to Graduate Students by Prof. Minghua Chen @CityU

• A Survival Guide to a PhD by Andrej Karpathy @Tesla

• Graduate Study Survival Guide (PDF) by Toshiya Hachisuka @UWaterloo

• Checklists for Stat-ML PhD students by Aaditya Ramdas @CMU

• Some resources related to the PhD journey by Xinming Tu @UW

• Advice for Phd Students in Economics by Chris Roth @UoC and David Schindler @Tilburg

Selected Course and Tutorial Websites Related to Optimization

• Several courses on optimization by Prof. Stephen Boyd @Stanford

• Several courses on optimization by Prof. Lieven Vandenberghe @UCLA

• Several courses on optimization, machine learning and RL by Prof. Chi Jin @Princeton

• Several courses on optimization by Prof. Zaiwen Wen @PKU

• Several courses on optimization by Prof. Yin Tat Lee @UW

• Several courses on optimization, machine learning and statistics by Prof. Ryan Tibshirani @CMU (also resources therein)

• Several courses on optimization & machine learning by Prof. Robert M. Gower @Telecom Paris

• Large-Scale Optimization for Data Science (Fall 2019) by Prof. Yuxin Chen @Upenn

• Foundations of Deep Learning (Fall 2020) by Prof. Soheil Feizi @UMD

• Learning Theory from First Principles by Prof. Francis Bach @INRIA

• Several courses on optimization, machine learning by Prof. Roger Grosse @UToronto

• Mathematics of Data: From Theory to Computation by Prof. Volkan Cevher @EPFL

Useful Resources on Optimization and Machine Learning

• Provable Nonconvex Methods/Algorithms by Prof. Ju Sun @UMN

• Math.OC Optimization and control papers in arXiv

• Stat.ML Machine learning and statistics papers in arXiv

• Lecture video series in Simons Institute for the Theory of Computing, UC Berkeley

• Lecture videos and slides of the “Bridging Mathematical Optimization, Information Theory, and Data Science” workshop at Princeton, May 2018.

• Reading List on common math and optimization used in research by Prof. Christian Kroer @Columbia

• Lecture videos and slides of the ZJU-CSE Summer School 2021

Useful Resources on Mathematics and Statistics

• Linear Algebra Review by Zico Kolter @CMU

• Matrix Calculus

Academic Conferences and Selected Online Seminars

• A collection of countdown of major machine learning conference deadlines

• A collection of recent research seminars

• One World Optimization Seminar

• One World Seminar Series on the Mathematics of Machine Learning

• Online Seminar on Mathematical Foundations of Data Science

Research & Academic Management

• Ten commandments of authorship by Prof. Luc Devroye @McGill

• A short summary of research group management using online tools by Prof. Eric Eaton @UPenn

• DOCX (in Chinese) by Prof. Ming-Ming Cheng @Nankai

• Tips for Computer Science Faculty Applications by Yisong Yue @Caltech

• The Strategy Space by Kira Goldner @BU

Mathematical Tools

• Desmos | Graphing Calculator

• Detexify | Recognize symbols of LaTeX

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jemdoc is a light text-based markup language designed for creating websites, created by Jacob Mattingley. It is very suitable for academic style website, which makes your website clear and concise.

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