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274 results

喬峰
🎙️ The Golden Thread of Tractable Optimization
14:07
🎙️ The Golden Thread of Tractable Optimization

36 views

6 days ago

STCS TIFR
Ashwin Pananjady - Predicting the behavior of iterative algorithms in high dimensional, average case

Instructor : Ashwin Pananjady Affiliation : Georgia Institute of Technology Abstract : Iterative algorithms are the workhorses of ...

49:42
Ashwin Pananjady - Predicting the behavior of iterative algorithms in high dimensional, average case

38 views

7 days ago

Richard McElreath
Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

See https://github.com/rmcelreath/stat_rethinking_2026 for course description and additional materials.

1:00:49
Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow

17,227 views

7 days ago

Steve Brunton
Properties of Maximum Likelihood Estimation

Here we explore key properties of the MLE, such as consistency and data efficiency. This video was produced at the University of ...

14:00
Properties of Maximum Likelihood Estimation

4,623 views

2 days ago

Practical stats
Probability vs. Odds: A Friendly Guide to Betting on Your Data

Master the difference between Probability and Odds in this friendly, comprehensive guide for data science, finance, and statistics.

3:59
Probability vs. Odds: A Friendly Guide to Betting on Your Data

14 views

6 days ago

International Centre for Mathematical Sciences
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

Marcus Noack - HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation, ...

56:27
HGDL and gpCAM: Hybrid Local-Global and Modern Bayesian Optimization for Function Approximation

18 views

7 days ago

Hieu Trinh, Control Vlogs, Geelong Australia
Topic 2 (part 3 of 4): Unknown Input Estimation based on Linear Functional Observers

Topic 2: Unknown Input Estimation based on Linear Functional Observers. In this topic, we introduce a new method for estimating ...

23:24
Topic 2 (part 3 of 4): Unknown Input Estimation based on Linear Functional Observers

45 views

7 days ago

BTech Junction
Lec 13 | Vertex Cover Problem | Theory of Computation (TOC) | BTech 3rd Year

... widely used in network security, optimization, resource allocation, and approximation algorithms. This lecture is useful for B.Sc., ...

30:48
Lec 13 | Vertex Cover Problem | Theory of Computation (TOC) | BTech 3rd Year

177 views

1 day ago

Madhav Malhotra
4 Months of RL in 4 Hours | Deep Reinforcement Learning Course (PPO, DQN, SAC, A2C)

A 4.5-hour course on reinforcement learning from basic jargon to modern algorithms like PPO, SAC, and DQN. I smooth out the ...

4:42:34
4 Months of RL in 4 Hours | Deep Reinforcement Learning Course (PPO, DQN, SAC, A2C)

223 views

6 days ago

StudySession
Numerical vs Analytical Methods | Numerical Methods | StudySession

What is the difference between Numerical and Analytical methods? In this video of our Numerical Methods course, we break down ...

11:34
Numerical vs Analytical Methods | Numerical Methods | StudySession

312 views

6 days ago

CSAChannel IISc
Towards a Theory of Equilibrium in Data Markets, by Bhaskar Ray Chaudhury

Date : 06 Jan 2026 Abstract: The algorithmic study of market equilibria has been a cornerstone of economics and computation ...

1:04:22
Towards a Theory of Equilibrium in Data Markets, by Bhaskar Ray Chaudhury

54 views

6 days ago

S.A. Engineering College (Autonomous)
GATE CLASS 2025 - 2026 - DATA STRUCTURES - MINIMUM SPANNING TREE- Mrs.S.MANODHIYA-S.A.CENGG.COLLEGE.

GATE CLASS 2025 - 2026 - DATA STRUCTURES - MINIMUM SPANNING TREE - Mrs.S.MANODHIYA - ASSISTANT ...

32:02
GATE CLASS 2025 - 2026 - DATA STRUCTURES - MINIMUM SPANNING TREE- Mrs.S.MANODHIYA-S.A.CENGG.COLLEGE.

0 views

7 days ago

Dr. Dylan Spicker
Joint Probabilities in Contingency Tables

This is a video in the "Introductory Probability" series. We discuss how you can find joint probabilities in a contingency table.

7:16
Joint Probabilities in Contingency Tables

29 views

6 days ago

QC Ware
Q2B25 Silicon Valley | Edward Farhi, Principal Scientist, Google

Quantum Approximate Optimization Algorithm | Edward Farhi, Principal Scientist, Google https://q2b.qcware.com/ ...

19:30
Q2B25 Silicon Valley | Edward Farhi, Principal Scientist, Google

52 views

6 days ago

Visually Explained
Linear Regression In Python In Under 50s #python  #machinelearning

We use linear regression in Python to predict donut sales based on TV ad spend. Slope, intercept, and a quick scikit-learn demo, ...

0:59
Linear Regression In Python In Under 50s #python #machinelearning

4,397 views

6 days ago

VeTSS RI
L. Bocchi, “Session Types, Asynchronous Communication, and Subtyping”, VeTSS Summer School 25 (VSS25

Although asynchronous session subtyping is undecidable in general, we can rely on practical approximate algorithms. I will briefly ...

2:43:21
L. Bocchi, “Session Types, Asynchronous Communication, and Subtyping”, VeTSS Summer School 25 (VSS25

6 views

4 days ago

STCS TIFR
Pranay Sharma - Natural Policy Gradient for Average Reward Non-Stationary RL

Instructor : Pranay Sharma Affiliation : Indian Institute of Technology Bombay Abstract : We consider the problem of non-stationary ...

44:00
Pranay Sharma - Natural Policy Gradient for Average Reward Non-Stationary RL

49 views

Streamed 7 days ago

UWMadison SILO Seminar
Jiawei Zhang - "First-Order Algorithms for Large-Scale Optimization"

Time: October 1, 2025 Speaker: Jiawei Zhang (UW-Madison) Abstract: It is well known that for nonconvex unconstrained ...

56:09
Jiawei Zhang - "First-Order Algorithms for Large-Scale Optimization"

47 views

5 days ago

TILOS AI
Randomized Linear Algebra with Subspace Injections

TITLE: Randomized Linear Algebra with Subspace Injections SPEAKER: Joel Tropp (Caltech) ABSTRACT: To achieve the ...

58:24
Randomized Linear Algebra with Subspace Injections

10 views

23 hours ago

Jude Samudio
CE 023 EDA LEC 2A: PROBABILITY

So for example so we can only use this uh approximation capacitance okay so for example uh in a given uh year in the record ...

2:44:57
CE 023 EDA LEC 2A: PROBABILITY

452 views

7 days ago