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#Stochastic Optimization

Showing: 52 courses
GERAD Research Center

A Tree-Search Heuristic for Stochastic Production-Distribution Planning with Transportation Mode-Dependent Lead Times

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Explore a tree-search heuristic for stochastic production-distribution planning, optimizing costs and lead times across transportation modes. Gain insights into efficient problem-solving techniques for complex supply chain scenarios.
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21 Lesons
48 minutes
On-Demand
Free-Video
GERAD Research Center

Enhancing General-Purpose Simulation-Based Optimization Algorithms Via Mixed Integer Linear Programming: A Case Study in Autonomous Ridesharing

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Enhance simulation-based optimization for complex stochastic problems using mixed integer linear programming, illustrated through an autonomous ridesharing case study.
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22 Lesons
51 minutes
On-Demand
Free-Video
GERAD Research Center

Learning and Stochastic Optimization for Industrial Mining Complexes

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Explorez une approche novatrice intégrant l'apprentissage automatique et l'optimisation pour la prise de décision dans les complexes miniers industriels face aux incertitudes d'approvisionnement et de demande.
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1 Lesons
45 minutes
On-Demand
Free-Video
Google TechTalks

Differentially Private Online-to-Batch Conversion for Stochastic Optimization

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Explore differentially private stochastic optimization techniques, comparing simple preprocessing and custom algorithms. Learn about a novel online-to-batch conversion method for optimal private convergence rates.
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26 Lesons
50 minutes
On-Demand
Free-Video
VinAI

Chance Constrained Simultaneous Task Allocation and Path Planning for Multi-Robot Systems

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Explore multi-robot task allocation and path planning with probabilistic performance guarantees. Learn algorithmic approaches for optimizing team performance in open environments.
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1 Lesons
1 hour 28 minutes
On-Demand
Free-Video
IEEE Signal Processing Society

Distributed Stochastic Non-Convex Optimization - Optimal Regimes and Tradeoffs

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Explore optimal regimes and tradeoffs in distributed stochastic non-convex optimization with Usman A. Khan. Gain insights into advanced data science concepts and their applications in signal processing.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Almost Optimal Variance-Constrained Best Arm Identification - Lecture 2

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Explores advanced techniques in variance-constrained best arm identification, focusing on optimal algorithms and theoretical analysis for efficient decision-making in multi-armed bandit problems.
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1 Lesons
46 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Particle Methods for Optimization Over Measures - Lecture 2

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Explore particle methods for measure optimization in this advanced lecture, covering theoretical foundations and practical applications in data science and machine learning.
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1 Lesons
53 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Particle Methods for Optimization over Measures - Lecture 1

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Explore particle methods for measure optimization, focusing on theoretical foundations and practical applications in data science and machine learning.
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1 Lesons
56 minutes
On-Demand
Free-Video
GERAD Research Center

Dynamic Fleet Size and Order Assignment Problem - Coffee Talk

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Explore dynamic fleet size and order assignment in logistics, balancing rental costs and demand uncertainty through stochastic optimization and algorithmic decision-making.
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1 Lesons
18 minutes
On-Demand
Free-Video
Alan Turing Institute

Optimisation - An Introduction: Professor Coralia Cartis, University of Oxford

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Explore optimization techniques, from basic concepts to advanced methods, covering minimizers, derivatives, quadratic functions, and gradient methods for solving complex mathematical problems.
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16 Lesons
2 hours 31 minutes
On-Demand
Free-Video
Alan Turing Institute

Variational Bayesian Approximation of Inverse Problems Using Sparse Precision Matrices

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Explore Variational Bayes as an efficient alternative to MCMC for solving inverse problems in PDEs, using sparse precision matrices and stochastic optimization for improved computational tractability.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Sample Size Estimates for Risk-Neutral Semilinear PDE-Constrained Optimization

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Explore sample size estimates for risk-neutral semilinear PDE-constrained optimization using SAA approach, covering nonasymptotic analysis and numerical illustrations.
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1 Lesons
30 minutes
On-Demand
Free-Video
Centre International de Rencontres Mathématiques

Monte Carlo Guided Diffusion for Bayesian Linear Inverse Problems

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Explore Monte Carlo guided diffusion techniques for solving Bayesian linear inverse problems in this advanced mathematical presentation by Sylvain Le Corff.
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1 Lesons
37 minutes
On-Demand
Free-Video
Probabilistic AI School

Monte Carlo Methods

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Explore Monte Carlo methods for probabilistic AI, covering key concepts and applications in this comprehensive tutorial from ProbAI 2024.
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1 Lesons
2 hours 26 minutes
On-Demand
Free-Video
USENIX

Jolteon - Unleashing the Promise of Serverless for Serverless Workflows

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Explore Jolteon, an innovative orchestrator for serverless workflows that optimizes resource provisioning, enhancing cost-efficiency and performance through advanced modeling and optimization techniques.
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1 Lesons
18 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Average Reward Markov Decision Process - Policy Gradient Algorithms and Regret Analysis

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Delve into infinite horizon average reward Markov Decision Process (MDP), exploring policy gradient algorithms, gradient estimation techniques, and innovative approaches to reduce mixing time dependencies.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Adaptive Multi-armed Bandit Algorithms for Markovian and IID Rewards

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Explore adaptive multi-armed bandit algorithms and their applications in both Markovian and i.i.d reward scenarios, focusing on regret guarantees and novel algorithmic approaches.
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1 Lesons
55 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits

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Delve into stochastic combinatorial semi-bandits with a focus on risk-controlled online decision making, exploring algorithms for optimal subset selection while maintaining variance constraints.
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27 Lesons
58 minutes
On-Demand
Free-Video
Simons Institute

Overview of Statistical Learning Theory - Part 2

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Explore fundamental concepts in statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theory and modern applications.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Simons Institute

Overview of Statistical Learning Theory - Part 1

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Explore fundamental concepts of statistical learning theory, including capacity control, generalization, and optimization techniques. Gain insights into classic theories and their relevance to modern machine learning paradigms.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
International Centre for Theoretical Sciences

Advances in Risk-Aware Multi-Armed Bandit Problems - Lecture 3

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Explore risk-aware multi-armed bandit problems with Vincent Tan. Learn advanced techniques for balancing exploration and exploitation in uncertain decision-making scenarios.
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1 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Simons Institute

Implicit Regularization I

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Explore implicit regularization in deep learning, covering boosting, complexity control, optimization landscapes, and stochastic gradient descent for effective model training.
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13 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Simons Institute

The Importance of Better Models in Stochastic Optimization

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Explore stochastic optimization models, focusing on robustness, stability, and asymptotic minimax theory. Learn about weak convexity, sharp growth problems, and practical experiments.
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16 Lesons
47 minutes
On-Demand
Free-Video
Simons Institute

First-Order Stochastic Optimization

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Explore first-order stochastic optimization techniques for machine learning, covering gradient descent, adaptive learning, and convergence rates in data science applications.
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11 Lesons
58 minutes
On-Demand
Free-Video
Paul Hand

Variational Autoencoders

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Explore generative models, autoencoders, and variational techniques in deep learning. Learn about architecture, optimization, and practical applications of variational autoencoders.
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16 Lesons
43 minutes
On-Demand
Free-Video
IEEE

Approximation Algorithms for Stochastic Minimum Norm Combinatorial Optimization

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Explore advanced techniques for solving stochastic minimum norm combinatorial optimization problems, focusing on approximation algorithms and their applications in complex decision-making scenarios.
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1 Lesons
22 minutes
On-Demand
Free-Video
Simons Institute

Hitting the High-Dimensional Notes - An ODE for SGD Learning Dynamics in High-Dimensions

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Explore stochastic optimization algorithms in high dimensions, analyzing dynamics and performance of SGD and momentum methods using a framework inspired by random matrix theory.
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1 Lesons
56 minutes
On-Demand
Free-Video
Society for Industrial and Applied Mathematics

Stochastic Primal Dual Splitting Algorithms for Convex and Nonconvex Composite Optimization in Imaging

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Explore stochastic primal dual splitting algorithms for convex and nonconvex composite optimization in imaging, focusing on SPDFP and SVRG-PDFP methods and their applications.
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1 Lesons
49 minutes
On-Demand
Free-Video
Fields Institute

Avoidance of Traps for Nonconvex Stochastic Optimization and Equilibrium Learning in Games

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Explore strategies to overcome challenges in nonconvex stochastic optimization and game theory equilibrium learning, focusing on trap avoidance techniques.
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1 Lesons
25 minutes
On-Demand
Free-Video
Alan Turing Institute

Masterclass for Optimisation - Professor Coralia Cartis, University of Oxford

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Explore advanced optimization techniques for large-scale problems with Professor Coralia Cartis. Learn about algorithm development, analysis, and implementation for various problem classes in numerical optimization.
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1 Lesons
1 hour 53 minutes
On-Demand
Free-Video
Paul G. Allen School

Non-negative Gauss-Newton Methods for Empirical Risk Minimization

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Explores non-negative Gauss-Newton methods for empirical risk minimization, discussing adaptivity, convergence analysis, and applications in machine learning optimization.
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1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
USENIX

DOTE - Rethinking Predictive WAN Traffic Engineering

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Innovative approach to WAN traffic engineering using historical data and deep learning, outperforming existing methods in quality and runtime while nearly matching an omniscient oracle.
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1 Lesons
17 minutes
On-Demand
Free-Video
Joint Mathematics Meetings

Human-Machine Interaction Models and Stochastic Optimization

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Explore stochastic optimization and human-machine interaction models, focusing on utility problems, risk preferences, and mean variance optimization in this mathematical presentation.
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11 Lesons
49 minutes
On-Demand
Free-Video
EuroPython Conference

Decision Science with Probabilistic Programming

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Explore generative models and probabilistic programming for decision-making under uncertainty, integrating with robust optimization techniques to enhance business strategies.
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1 Lesons
54 minutes
On-Demand
Free-Video
GERAD Research Center

Adaptive Partitioning for Chance-Constrained Problems - DS4DM Coffee Talk

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Explore adaptive partitioning for chance-constrained stochastic optimization, featuring refinement and merging techniques to solve reduced-size models efficiently and optimally.
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1 Lesons
22 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Error Bounds for Mean-Payoff Markov Decision Processes

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Explore optimal transport techniques for error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.
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1 Lesons
29 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Stochastic Algorithms for Constrained Continuous Optimization

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Explore stochastic-gradient-based algorithms for constrained continuous optimization, focusing on interior-point and sequential-quadratic-programming methods with convergence guarantees and practical applications.
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1 Lesons
29 minutes
On-Demand
Free-Video
Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Revisiting Inexact Fixed-Point Iterations for Min-Max Problems - Stochasticity and Cohypomonotonicity

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Explore advanced optimization techniques for constrained min-max problems, focusing on inexact fixed-point iterations and stochastic algorithms for nonconvex-nonconcave scenarios.
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1 Lesons
29 minutes
On-Demand
Free-Video
Centre for Networked Intelligence, IISc

Missing Mass and Optimal Discovery in Power Systems Security Analysis

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Explore advanced statistical modeling and machine learning concepts through probabilistic expert advice, focusing on security analysis in power systems and Good-Turing missing mass estimation techniques.
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1 Lesons
57 minutes
On-Demand
Free-Video
Inside Livermore Lab

Derivative-Informed Neural Operators for Solving PDE-Governed Optimization Problems

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Explore novel machine learning for solving optimization problems with PDEs, featuring derivative-informed neural operators for efficient, scalable solutions in high-dimensional parameter spaces.
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1 Lesons
56 minutes
On-Demand
Free-Video
GERAD Research Center

Stochastic Tabu Search and Improvements - Application for Physician Scheduling

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Explore stochastic tabu search for physician scheduling, including hyperparameter tuning and learning algorithms to enhance efficiency in radiotherapy centers.
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1 Lesons
55 minutes
On-Demand
Free-Video
GERAD Research Center

Decision-Based Scenario Clustering - General Bounds for Stochastic Optimization Models

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Explore decision-based scenario clustering for stochastic optimization models. Learn to derive efficient bounds and address computational challenges in uncertainty-driven decision-making.
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1 Lesons
52 minutes
On-Demand
Free-Video
BIMSA

Global Convergence in Stochastic Optimization - ICBS 2024

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Explore stochastic optimization algorithms with adaptive variance for non-convex functions, featuring provable convergence rates and numerical examples.
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1 Lesons
59 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Trade-off Between Optimality and Explainability in Machine Learning Models

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Explore the trade-off between model explainability and accuracy in AI/ML, focusing on counterfactual explainability and optimization challenges in high-risk applications.
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1 Lesons
44 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Set Valued Hamilton-Jacobi-Bellman Equations - Applications and Theory

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Explore set valued PDEs and their applications in stochastic optimization, risk measures, and game theory. Learn about dynamic programming principles and set valued HJB equations.
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1 Lesons
54 minutes
On-Demand
Free-Video
USC Probability and Statistics Seminar

Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter

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Explore differentially private stochastic optimization techniques for loss functions with large worst-case Lipschitz parameters, addressing outliers and heavy-tailed data for improved excess risk bounds.
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1 Lesons
58 minutes
On-Demand
Free-Video
VinAI

Adversarially Robust Stochastic Multi-Armed Bandits

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Explore adversarially robust stochastic multi-armed bandits for optimal experimental design. Learn about algorithms balancing fast and robust learning in real-world applications like digital advertising.
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1 Lesons
45 minutes
On-Demand
Free-Video
GERAD Research Center

Combinatorial Optimization Augmented Machine Learning for Contextual Multi-Stage Problems

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Explore combinatorial optimization augmented machine learning for contextual multi-stage problems, focusing on industrial applications and dynamic stochastic optimization challenges.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Max Planck Science

Shuffling-based Stochastic Optimization Methods: Bridging the Theory-practice Gap

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Explore shuffling-based stochastic optimization methods and their practical applications in bridging theoretical concepts with real-world implementation.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video
Google TechTalks

Limitations of Stochastic Selection with Pairwise Independent Priors

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Explore stochastic selection problems with pairwise-independent priors and matroid constraints, examining limitations and optimal bounds for contention resolution and prophet inequalities.
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1 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Uncertainty in Artificial Intelligence

Online Optimization Meets Federated Learning - Tutorial

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Explore state-of-the-art theoretical results in online optimization, federated learning, and their intersection. Gain insights into regret analysis, data heterogeneity, and distributed online optimization.
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1 Lesons
2 hours 22 minutes
On-Demand
Free-Video