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#Probabilistic Methods

Showing: 48 courses
Stanford University

Stanford CS109 - Future of Probability - Lecture 28

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Explore the future of probability in computer science with Stanford's expert insights, covering advanced concepts and their applications in emerging technologies.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Cooper

Using Bayesian Inference to Detect Cyber Attacks

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Explore Bayesian inference techniques for detecting cyber attacks, enhancing your ability to identify and respond to security threats in real-time.
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1 Lesons
21 minutes
On-Demand
Free-Video
NPTEL-NOC IITM

Activity Factor and Estimating Dynamic Power for Combinational Circuit Design - Lecture 9.2

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Explore probabilistic methods for estimating activity factors and dynamic power in combinational circuits, analyzing primitive gates and multi-stage designs.
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1 Lesons
23 minutes
On-Demand
Free-Video
PetroNile Academy

Reserve Classification and Estimation Techniques in Petroleum Engineering

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Explore reserve classification and estimation techniques, including deterministic and probabilistic methods, volumetric analysis, decline curves, and dynamic material balance principles for effective reservoir management.
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14 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Alan Turing Institute

Probabilistic Methods for Increased Robustness in Machine Learning

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Explore probabilistic methods to enhance machine learning robustness, focusing on latent variables, molecular design, and optimization techniques for improved AI performance and reliability.
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10 Lesons
21 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Advances in Risk-Aware Multi-Armed Bandit Problems by Vincent Tan

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Explore risk-aware multi-armed bandit problems and recent advancements in this field of data science, focusing on probabilistic and optimization methods for decision-making under uncertainty.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning

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Exploring the profound impact of mathematical principles on large-scale deep learning, unveiling unexpected connections and insights that drive advancements in artificial intelligence.
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1 Lesons
58 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Dynamic Pricing and Learning Under the Bass Model by Shipra Agrawal

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Explore dynamic pricing strategies and learning techniques under the Bass model, focusing on data-driven approaches in marketing and product diffusion analysis.
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1 Lesons
1 hour 12 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Graph Alignment: Informational and Computational Limits - Lecture 1

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Explore graph alignment challenges, focusing on informational and computational limits in data science. Gain insights into probabilistic methods for analyzing complex network structures.
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1 Lesons
1 hour
On-Demand
Free-Video
International Centre for Theoretical Sciences

Probabilistic Methods in Data Science - Lecture by Aurélien Garivier

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Exploration des méthodes probabilistes et d'optimisation en science des données, mettant l'accent sur les techniques analytiques et algorithmiques pour traiter efficacement les grands volumes de données.
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1 Lesons
1 hour 50 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Near-Optimal Heteroscedastic Regression With Symbiotic Learning by Praneeth Netrapalli

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Explore near-optimal heteroscedastic regression techniques using symbiotic learning, presented by Praneeth Netrapalli. Gain insights into advanced data science methods for improved regression analysis.
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1 Lesons
50 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Fitting Manifolds to Data in the Presence of Large Noise by Hari Narayanan

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Explore techniques for fitting manifolds to noisy data, focusing on probabilistic and optimization methods in data science. Learn about cutting-edge approaches and their applications.
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1 Lesons
45 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Finite Time Analysis of Temporal Difference Learning with Linear Function

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Explores finite time analysis of Temporal Difference Learning with linear function approximation, discussing probabilistic and optimization methods in data science and their applications.
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1 Lesons
47 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Stein Variational Gradient Descent - Fast Finite-Particle Convergence

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Explore Stein Variational Gradient Descent and its fast finite-particle convergence in this technical talk by Dheeraj Nagaraj, part of a data science discussion meeting on probabilistic and optimization methods.
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1 Lesons
48 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Finite-Time Guarantees of Contractive Stochastic Approximation - Mean-Square

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Explore finite-time guarantees of contractive stochastic approximation, focusing on mean-square analysis. Learn about advanced probabilistic methods in data science and optimization.
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1 Lesons
45 minutes
On-Demand
Free-Video
Simons Institute

Verifiable Data Science via Interactive Proofs

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Explore interactive proofs for verifiable data science, enhancing trust and reliability in scientific computations and analyses.
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1 Lesons
1 hour 7 minutes
On-Demand
Free-Video
Simons Institute

X-Ramanujan Graphs

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Explore X-Ramanujan graphs and their applications in computer science, focusing on advanced concepts beyond randomized rounding and the probabilistic method in graph theory.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Simons Institute

Applications in Extremal Combinatorics - Lecture 2

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Explore advanced concepts in extremal combinatorics, focusing on analytical techniques and their applications in theoretical computer science.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Applications in Extremal Combinatorics - Lecture 1

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Explore advanced concepts in extremal combinatorics, focusing on analytical techniques and their applications in theoretical computer science.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
International Centre for Theoretical Sciences

Graph Alignment: Informational and Computational Limits - Lecture 2

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Explore graph alignment challenges, focusing on informational and computational limits. Gain insights into probabilistic and optimization methods for data science applications.
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1 Lesons
1 hour 9 minutes
On-Demand
Free-Video
Simons Institute

On Perfectly Friendly Bisections of Random Graphs

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Explores vertex-isoperimetry expansion in random graphs, using boolean function tools to prove equipartition results with specific neighbor distribution properties across partitions.
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1 Lesons
57 minutes
On-Demand
Free-Video
Hausdorff Center for Mathematics

Probabilistic Methods in Hyperbolic Geometry

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Explore probabilistic approaches to solve geometric and topological questions in hyperbolic manifolds, bridging mathematics domains through innovative analytical techniques.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Stationary Random Subgroups and Injectivity Radius of Hyperbolic Manifolds

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Explore probabilistic methods in geometric problems, focusing on injectivity radius in hyperbolic manifolds and stationary actions of groups with large stabilizers.
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1 Lesons
40 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Probabilistic Approaches to Rational Points on Algebraic Surfaces

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Explore probabilistic methods for studying rational points on algebraic surfaces, delving into advanced mathematical concepts and recent research developments.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
BIMSA

Hypergraph Decompositions and Their Applications

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Explore hypergraph decompositions and their applications in combinatorics with Oxford Professor Peter Keevash, known for solving the Existence Conjecture for Combinatorial Designs.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Instituto de Matemática Pura e Aplicada

Discrete Random Models - Minicourse 03

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Explore discrete random models in this advanced mathematics workshop. Gain insights into probabilistic techniques for analyzing complex network structures and random processes.
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1 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Institut des Hautes Etudes Scientifiques (IHES)

Probabilistic and Deterministic Scattering for Non-linear Schrödinger Equations

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Explore probabilistic and deterministic scattering in non-linear Schrödinger equations, examining random initial data and wave operators through recent research findings.
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1 Lesons
58 minutes
On-Demand
Free-Video
INSAIT Institute

How to Randomly Test Programs and Why Random Tests Are Good

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Discover effective random testing techniques for distributed systems, exploring combinatorial insights, probabilistic methods, and fuzzing strategies for ensuring program reliability.
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13 Lesons
26 minutes
On-Demand
Free-Video
Association for Computing Machinery (ACM)

Exploration with Limited Memory - Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits

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Explore streaming algorithms for coin tossing, noisy comparisons, and multi-armed bandits, focusing on limited memory scenarios and efficient problem-solving techniques.
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16 Lesons
24 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Advances in Applied Probability II

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Explore cutting-edge research in applied probability, covering statistical learning, high-dimensional computation, Monte Carlo methods, discrete probability, percolation, and empirical methods. Gain insights from leading experts.
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1 Lesons
3 hours 2 minutes
On-Demand
Free-Video
IEEE

Beyond the Lovasz Local Lemma - Point to Set Correlations and Their Algorithmic Applications

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Explore point-to-set correlations and their algorithmic applications, extending beyond the Lovasz Local Lemma for advanced problem-solving in computer science and mathematics.
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1 Lesons
20 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Probabilistic Methods for Classification - 2009

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Explore probabilistic methods for classification, covering supervised learning, estimation, and advanced models like Naive Bayes, Maximum Entropy, and Conditional Random Fields.
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27 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

Sublinear-Time Algorithms in Learning

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Explore cutting-edge sublinear algorithms for efficient machine learning, focusing on extroverted approaches and their applications in large-scale data analysis.
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1 Lesons
35 minutes
On-Demand
Free-Video
IEEE

Stochastic Weighted Matching - 1-Epsilon Approximation

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Explore stochastic weighted matching algorithms, including Monte Carlo analysis, vertex-independent matching, and greedy approaches for efficient approximation solutions.
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11 Lesons
29 minutes
On-Demand
Free-Video
ACM SIGPLAN

Formal Probabilistic Methods for Combinatorial Structures using the Lovász Local Lemma

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Explore formal probabilistic methods for combinatorial structures, focusing on the Lovász Local Lemma and its application to hypergraph coloring in Isabelle/HOL.
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1 Lesons
32 minutes
On-Demand
Free-Video
Finnish Center for Artificial Intelligence FCAI

Probabilistic Richardson Extrapolation

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Explore probabilistic Richardson extrapolation using Gaussian processes for accelerated convergence in numerical methods, with applications in cardiac modeling and statistical experimental design.
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1 Lesons
47 minutes
On-Demand
Free-Video
Kolmogorov-Seminar

Computing Majority of N Using Majority-K Circuits with Logarithmic Depth

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Delve into probabilistic constructions and computational complexity, exploring Valiant's theorem on majority functions using Maj-k circuits and their depth analysis.
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1 Lesons
1 hour 50 minutes
On-Demand
Free-Video
Inside Livermore Lab

Probabilistic Methods for Data-Driven Reduced-Order Modeling

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Explore probabilistic methods for data-driven reduced-order modeling, including Gaussian process regression, deep kernel learning, and Bayesian reduced-order operator inference for efficient multi-query simulations and digital twinning.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Probabilistic Methods - Entropy Compression

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Explore probabilistic methods and entropy compression in mathematics through an in-depth lecture by František Kardoš at CIRM's ALEA days conference.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
IPhT-TV

Mathematical Problems in Machine Learning - Lecture 4/4

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Explore advanced mathematical concepts in machine learning, focusing on complex problem-solving techniques and theoretical foundations.
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1 Lesons
2 hours 6 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Existence of Graphs with High Girth and High Chromatic Number

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Delve into probabilistic methods in combinatorics, exploring Erdős's groundbreaking proof of graphs with high girth and chromatic number through elegant mathematical reasoning.
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1 Lesons
25 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Lower Bounds to Ramsey Numbers - MIT 18.226 Probabilistic Methods in Combinatorics

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Delve into probabilistic methods in combinatorics, exploring Ramsey numbers through alteration techniques and the Lovász Local Lemma for advanced mathematical problem-solving.
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1 Lesons
43 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Threshold for a Random Graph to Contain a Triangle - MIT 18.226

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Explore probabilistic methods to determine when random graphs develop triangles, using first and second moment analysis techniques in combinatorial mathematics.
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1 Lesons
29 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Extremal Set Theory - Sperner's Theorem

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Explore the fascinating world of Sperner's Theorem and learn how to determine the maximum number of subsets possible in an n-element set without subset containment.
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1 Lesons
13 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Markov, Chebyshev, and Chernoff Inequalities in Probabilistic Analysis

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Master fundamental probabilistic inequalities - Markov, Chebyshev, and Chernoff - and their applications in combinatorial analysis through clear mathematical explanations and examples.
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1 Lesons
17 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Extremal Set Theory - Intersecting Families and the Erdős-Ko-Rado Theorem

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Explore the probabilistic method in combinatorics through intersecting families of sets, featuring the Erdős-Ko-Rado theorem and its applications in extremal set theory.
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1 Lesons
17 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Crossing Number Inequality in Graph Theory and Combinatorics

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Explore the probabilistic method in combinatorics and its application to graph theory, focusing on proving the crossing number inequality in graph drawings.
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1 Lesons
18 minutes
On-Demand
Free-Video
MIT OpenCourseWare

Independent Sets and Turán's Theorem

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Explore the probabilistic method in combinatorics through graph theory, focusing on independent sets, cliques, and the fundamental principles behind Turán's theorem.
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1 Lesons
15 minutes
On-Demand
Free-Video