Simons Institute for the Theory of Computing

Simons Institute for the Theory of Computing

Views:
6,304,334
Subscribers:
68,700
Videos:
5,454
Duration:
173:07:02:50
United States
United States

Simons Institute for the Theory of Computing is an American YouTube content creator with at least 68.7 thousand subscribers. He published around 5.45 thousand videos which altogether total roughly 6.3 million views.

Created on ● Channel Link: https://www.youtube.com/channel/UCW1C2xOfXsIzPgjXyuhkw9g





Top 100 Most Viewed Videos by Simons Institute for the Theory of Computing


Video TitleViewsCategoryGame
1.An observation on Generalization93,674
2.Algorithmic Trading and Machine Learning91,201
3.A Tutorial on Reinforcement Learning I55,659
4.Nonparametric Bayesian Methods: Models, Algorithms, and Applications I49,955
5.Variational Inference: Foundations and Innovations44,038
6.Black Holes and the Quantum-Extended Church-Turing Thesis | Quantum Colloquium41,291
7.Optimization for Machine Learning I40,491
8.Spectral Graph Theory I: Introduction to Spectral Graph Theory38,609
9.The Unreasonable Effectiveness of Spectral Graph Theory: A Confluence of Algorithms, Geometry & ...37,871
10.The Mathematics of Lattices I35,741
11.Polar Codes I34,853
12.Ultraproducts as a Bridge Between Discrete and Continuous Analysis34,170
13.Cryptography: From Mathematical Magic to Secure Communication33,354
14.Fully Homomorphic Encryption33,078
15.Pairings in Cryptography27,863
16.Nonparametric Bayesian Methods: Models, Algorithms, and Applications II27,264
17.Why Only Us: Language and Evolution26,526
18.Genome in 3D: Modeling Chromosome Organization26,312
19.WIT: Women in Theory (of Computer Science) — I Will Survive!25,903
20.Optimization I25,117
21.Natural Language Understanding: Foundations and State-of-the-Art24,751
22.Fully Homomorphic Encryption I24,140
23.Beyond Computation: The P versus NP question (panel discussion)23,996Discussion
24.Classical Verification of Quantum Computations23,758
25.Building Human Intelligence at Scale, to Save the Next Generation from ChatGPT23,487
26.High-Dimensional Statistics I23,404
27.Artificial Stupidity: The New AI and the Future of Fintech23,271
28.The Arrow of Time in Causal Networks21,819
29.Independent Component Analysis: From Theory to Practice and Back21,536
30.The Contextual Bandits Problem21,429
31.On How Machine Learning and Auction Theory Power Facebook Advertising19,241
32.Predictive Coding Models of Perception18,760
33.Tutorial on Deep Learning I17,791
34.Generalization and Equilibrium in Generative Adversarial Nets (GANs)17,752
35.Introduction to Biological Network Analysis II: Protein-Protein Interaction Networks: From Graphs to16,341
36.Credible Mechanism16,193
37.Submodularity: Theory and Applications I16,008
38.Spacetime, Entropy, and Quantum Information15,844
39.The Entropy Decrement Method and the Erdos Discrepancy Problem15,651
40.Mathematics of Lattices15,298
41.Tutorial on Differential Privacy15,256
42.Failures of Deep Learning14,502
43.Networks of Spiking Neurons Learn to Learn and Remember14,018
44.Obviously Strategy-Proof Mechanisms14,013
45.Deep Reinforcement Learning13,756
46.Mini Crash Course: Quantum Information Theory13,359
47.Mini Crash Course: Tensor Networks13,037
48.Representations for Language: From Word Embeddings to Sentence Meanings13,020
49.Equilibrium Computation and Machine Learning12,746
50.On Gradient-Based Optimization: Accelerated, Distributed, Asynchronous and Stochastic12,739
51.The Information Bottleneck Theory of Deep Neural Networks...12,690
52.The Mathematics of Causal Inference, with Reflections on Machine Learning and the Logic of Science12,622
53.Are Polar Codes Practical?12,080
54.Dynamic Pricing in Ride-Sharing Platforms11,911
55.Multi-Agent Reinforcement Learning (Part I)11,634
56.Algorand's Forthcoming Blockchain Technology11,622
57.Are LLMs the Beginning or End of NLP?11,528Let's Play
58.Nonparametric Bayesian Methods: Models, Algorithms, and Applications III11,520
59.Does the Neocortex Use Grid Cell-Like Mechanisms to Learn the Structure of Objects?10,962
60.Simple, Efficient and Neural Algorithms for Sparse Coding10,805
61.The Mathematics of Networks10,600
62.Introduction to Biological Network Analysis I: Network Basics and Properties10,536
63.Nonparametric Bayesian Methods: Models, Algorithms, and Applications IV10,361
64.Statistical Inference I10,310
65.Competitive Analysis of Online Algorithms (Part 1)10,095
66.Introduction to Cancer Bioinformatics I: Inferring Genomic Variation from Tumor Sequencing Data10,070
67.Tensor Decomposition I10,024
68.Polar Codes II9,969
69.The Mathematics of Lattices II9,944
70.Natasha 2: Faster Non-convex Optimization Than SGD9,844
71.Panel Discussion9,749Discussion
72.Real Algebraic Geometry9,469
73.The Asteroid Terrestrial-impact Last Alert System (ATLAS)9,408
74.Big Data: The Computation/Statistics Interface9,399
75.Generalization I9,380
76.Black Holes, Firewalls, and the Limits of Quantum Computers9,363
77.The Simplest Oblivious Transfer Protocol9,250
78.The Prefrontal Cortex as a Meta-Reinforcement Learning System9,228
79.Perception as Inference: The Brain and Computation | Theory Shorts9,154
80.Polar Codes III9,096
81.Unsupervised Representation Learning9,086
82.Online Learning and Online Convex Optimization I9,085
83.Bayesian Theories of Perception and Cognition8,729
84.Debate: Sparks versus embers8,724
85.Mini Crash Course: Quantum Error Correction8,689
86.Attribute-based Encryption for Circuits8,646
87.The Learning With Errors Problem and Cryptographic Applications8,613
88.Algorand: The Truly Distributed Ledger8,570
89.The Green-Tao Theorem and a Relative Szemeredi Theorem8,432
90.Learning and Generalization in Over-parametrized Neural Networks, Going Beyond Kernels8,402
91.Interior Point Methods 18,139
92.Quantum Supremacy: Checking a Quantum Computer with a Classical Supercomputer7,972
93.Optimization on Manifolds7,779
94.Computational Challenges and the Future of ML Panel7,743
95.Foundations of RL7,736
96.Data Driven Optimization Models and Algorithms7,731
97.Min-Max Optimization (Part I)7,646
98.Selective Inference and False Discovery Rate I7,561
99.A Theory of Polarization7,543
100.Real-Time Convex Optimization7,475