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#### 1Courses for Numerical Sampling and Inference

Courses for Numerical Sampling and Inference at Duke
3 months ago by @kirk86
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#### 1Computational Statistics in Python

Computational Statistics in Python Course
3 months ago by @kirk86
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#### 1Courses By Michael Jordan

Courses into CS and Stats
8 months ago by @kirk86
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#### 1Topics in Theoretical Computer Science: An Algorithmist's Toolkit

Topics in Theoretical Computer Science: An Algorithmist's Toolkit 2007
8 months ago by @kirk86
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#### 1Topics in Theoretical Computer Science

Topics in Theoretical Computer Science
8 months ago by @kirk86
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#### 1Theoretical Computer Science

8 months ago by @kirk86
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#### 1Mathematics of CS

Mathematics of CS MIT 6.042 Spring 2018
9 months ago by @kirk86
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#### 1Building Blocks for Theoretical Computer Science

Building Blocks for Theoretical Computer Science
9 months ago by @kirk86
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#### 1Algorithms by Jeff Erickson

Algorithms by Jeff Erickson
9 months ago by @kirk86
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#### 1Luca Trevisan Lecture Notes on Theoretical CS and ML

Luca Trevisan Lecture Notes on Theoretical CS, ML and Optim
10 months ago by @kirk86
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#### 1Lecture Notes | in theory

10 months ago by @kirk86
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#### 1Mathematics for Computer Science | Electrical Engineering and Computer Science | MIT OpenCourseWare

This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds: Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations. Discrete structures: graphs, state machines, modular arithmetic, counting. Discrete probability theory. On completion of 6.042J, students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in computer science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems.Interactive site components can be found on the Unit pages in the left-hand navigational bar, starting with Unit 1: Proofs.
11 months ago by @kirk86
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#### 1CS-121 / CSCI-E121: Introduction to Theoretical Computer Science :: CS 121 Website

Introduction to Theoretical Computer Science - Harvard CS Concentration
a year ago by @kirk86
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#### 1Introduction to Theoretical Computer Science

Barak, Boaz
a year ago by @kirk86
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#### 16.045/18.400 Materials Theoretical Computer Sciece

Theoretical Computer Science Notes from MIT
a year ago by @kirk86
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#### 115-251 Spring 2019 Theoretical Computer Science

Theoretical Computer Science from CMU
a year ago by @kirk86
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#### 1TCS+

Theoretical computer science talks
a year ago by @kirk86
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#### 2Approximate Bayesian computation via the energy statistic

, , , and . IEEE Access (2020)
2 months ago by @kirk86
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#### 3Reducibility and Statistical-Computational Gaps from Secret Leakage

, and . (2020)cite arxiv:2005.08099Comment: 175 pages; subsumes preliminary draft arXiv:1908.06130; accepted for presentation at the Conference on Learning Theory (COLT) 2020.
2 months ago by @kirk86
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#### 2The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure

(2018)cite arxiv:1809.03063.
2 months ago by @kirk86
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#### 2Computational Concentration of Measure: Optimal Bounds, Reductions, and More

(2019)cite arxiv:1907.05401.
2 months ago by @kirk86
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#### 2Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation

(2019)cite arxiv:1910.04920Comment: AISTATS, 2020.
5 months ago by @kirk86
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#### 4A Theory of Usable Information Under Computational Constraints

, , , , and . (2020)cite arxiv:2002.10689Comment: ICLR 2020 (Talk).
5 months ago by @kirk86
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#### 1Probabilistic Analysis of Learning in Artificial Neural Networks: The PAC Model and its Variants

Neural Computing Surveys (1997)
7 months ago by @kirk86
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#### 2Nonlinear Equation Solving: A Faster Alternative to Feedforward Computation

, , , and . (2020)cite arxiv:2002.03629.
7 months ago by @kirk86
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#### 2Smoothed complexity of local Max-Cut and binary Max-CSP

(2019)cite arxiv:1911.10381.
7 months ago by @kirk86
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#### 1Computational Complexity: A Modern Approach

, and . (2007)
8 months ago by @kirk86
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#### 2Elements of Scheduling

, and . (2020)cite arxiv:2001.06005.
8 months ago by @kirk86
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#### 1Average Waiting Times in the Two-Class M/G/1 Delayed Accumulating Priority Queue

, and . (2020)cite arxiv:2001.06054Comment: Submitted to Operations Research for Healthcare.
8 months ago by @kirk86
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#### 4Computational Geometry Algorithms and Applications

(2008)
8 months ago by @kirk86
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#### 2Composable Core-sets for Determinant Maximization Problems via Spectral Spanners

(2018)cite arxiv:1807.11648Comment: To appear in SODA 2020.
8 months ago by @kirk86
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#### 2Calibrated Approximate Bayesian Inference

, , and . Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, page 6912--6920. Long Beach, California, USA, PMLR, (09--15 Jun 2019)
8 months ago by @kirk86
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