Miscellaneous
Free Courses and Books (TCS)
- Randomized Algorithms by James Aspnes.
- Advanced Complexity Theory by Hamed Hatami.
- Computational Complexity by Manoj M. Prabhakaran.
- Communication Complexity by Mark Bun .
- Computational Social Choice by Rohit Vaish .
- Analytical Toolkit in Computer Science by Hemanta K. Maji.
- A Theorist's toolkit by Ryan O'Donnell.
- Data Stream Algorithms by Amit Chakraborti.
- Theory of Metric Embeddings by Harald Räcke.
- Lecture notes on metric embeddings by Jiří Matoušek.
- Algorithms book by Jeff Erickson .
- Introduction to Theoretical Computer Science by Boaz Barak.
- Lecture Notes by Tim Roughgarden.
- Analysis of Boolean Functions by Ryan O'Donnell.
- Analysis of Boolean Functions by Ramprasad Saptarishi
- Playlist on Analysis of Boolean Functions at the Simons Institute.
- Probabilistic Method in Combinatorics by Yufei Zhao .
Free Courses and Books (Quantum)
- Introduction to Quantum Computing by Sevag Gharibian.
- Introduction to Quantum Computing by Nathan Wiebe.
- Introduction to Quantum Information Theory by Mark M. Wilde.
- Quantum Complexity Theory by Scott Aaronson.
- Quantum Complexity Theory by Sevag Gharibian.
- Quantum Computing lecture notes by Ronald de Wolf.
Free Courses and Books (Learning Theory and Optimization)
- Sample Complexity Part 1 and Part 2: Eli Upfal.
- Machine Learning by Ronald Rivest and Mona Singh.
- Machine Learning Theory by Akshay Krishnamurthy.
- Foundations of Modern Machine Learning by Nika Haghtalab.
- Learning Theory by Ambuj Tewari.
- Machine Learning Theory by Maria Florina Balcan.
- Understanding ML by Shai Shalev-Shwartz and Shai Ben-David.
- Convex Optimization by Sébastien Bubeck.
- Optimization Algorithms by Constantine Caramanis. .
- Mathematics of Machine Learning 2019 Summer School .
- Distribution Testing by Clément Canonne.
- Applied Information Theory by Ziv Goldfeld.
Free Courses and Books (Maths)
- Introduction to Measure Theory by Claudio Landim.
- Introduction to Group Theory by Richard E Borcherds.
- Introduction to Ring Theory by Elliot Nicholson.
- Introduction to Field Theory by Elliot Nicholson.
- Martingale Theory by Artem Sapozhnikov.
Expository Resources (TCS)
- Taxonomy of Square Matrices.
- Metric Embeddings (FOCS22 workshop) .
- Five Proofs of Chernoff's Bound with Applications by Wolfgang Mulzer.
- Edmond's Blossom Algorithm by James S. Plank .
- Tossing a biased coin by Michael Mitzenmacher .
- Determining the direction of a coin's bias by William Hoza.
- Part 1 and Part 2 on Multivariate Gaussians by Chuong B. Do .
- Understanding Ladner's Theorem by Sanjoy Das.
- Reservoir Sampling: Florian Hartmann, Stephen N. Pallone .
- Morris' algorithm by Gregory Gundersen.
- The Unique Games Conjecture by Scott Aaronson.
- Hastad's switching lemma by Victor Lecomte.
- Plancherel's trick by Victor Lecomte.
Expository Resources (Quantum)
- Youtube playlist on Density Matrix and Mixed States by Diego Emilio .
- QAOA literature survey by Kunal Marwaha .
- A list of Open and Solved quantum problems by IQOQI Vienna .
Expository Resources (Learning Theory)
- Understanding Optimal Transport by Alex Williams.
- Website on Algorithms With Predictions .
- Diffusion Models : Calvin Luo, Lilian Weng, CVPR 2022 Tutorial .
- Generative Flows : Lilian Weng, Yoshua Bengio.
- Learning Theory Notes by Gene Li.
- Dijkstra's in Disguise by Eric Jang.
Expository Resources (others)
- Probability Cheatsheet by William Chen and Joe Blitzstein.
- Inequalities Cheatsheet by László Kozma.
- Notes and visualizations on Linear Algebra by Kenji Hiranabe.
- The We(a)ekly Quiz by Clement Cannone .
- Expository Papers on Algebra and Number Theory by Keith Conrad.
Curated Articles (On Research)
- Advice on giving talks by Anupam Gupta.
- The Value of Science by Richard Feynman .
- The Limits of Quantum Computers by Scott Aaronson.
- Advice to PhD students by Oded Goldreich.
- 3 qualities of successful PhD students by Matt Might.
- Writing a good introduction by Jim Kurose.
- How to write a ML paper by Jakob Foerster.
- Writing Technical Articles by Henning Schulzrinne .
- The importance of stupidity in scientific research by Martin A. Schwartz .
- Presenting a Technical Talk by Nick Feamster.
- Top 10 ways to Lose your Audience .
Curated Articles (Others)
- Andrei Nikolaevich Kolmogorov by K R Parthasarathy .
- Meeting a Gorilla by Douglas Adams and Mark Carwardine .
Other Interesting Links
I have an Erdős number of 4 and a Dijkstra number of 5 (both below the average of 4.65 and 5.14 respectively).
- My CV.
- My Blog.
- BraQIIIT Lab Reading Group log.
- A curated list of courses, lecture notes, and more!.
- My Feedly Opml File.
- Curated StackExchange Links.