Distributionally Robust Optimization Courses and Certifications

Association for Computing Machinery (ACM)

Fair Recommendations with Limited Sensitive Attributes - A Distributionally Robust Optimization Approach

Explore distributionally robust optimization for fair recommendations with limited sensitive attributes in RecSys, enhancing fairness in machine learning applications.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Nonconvex Optimization in Matrix Optimization and Distributionally Robust Optimization

Explore nonconvex optimization in matrix and distributionally robust contexts, covering algorithms, complexity, and applications in machine learning with Stephen Wright.

• YouTube
• 55 minutes
• On-Demand
• Free Video

NDC Conferences

An AI with an Agenda - How Our Cognitive Biases Leak Into Machine Learning

Explores how human cognitive biases can infiltrate AI and machine learning models, offering strategies to mitigate these issues and create more objective, ethical algorithms.

• YouTube
• 56 minutes
• On-Demand
• Conference Talk

Simons Institute

Robust Optimization and Generalization

Explore robust optimization's history and its modern machine learning applications, focusing on performance certification and practical challenges in ML systems.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

VinAI

Optimal Transport for Distributionally Robust Optimization and Applications in Machine Learning

Explore optimal transport in distributionally robust optimization, focusing on its applications in machine learning, distribution shifts, and responsible AI. Gain insights into solving challenging optimization problems.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

NDC Conferences

An AI with an Agenda

Explore common biases in AI development and learn practical steps to create more objective and ethical algorithms, ensuring better decision-making in AI-assisted systems.

• YouTube
• 49 minutes
• On-Demand
• Conference Talk

Paul G. Allen School

Building Reliable Machine Learning Systems - Challenges and Approaches

Exploring methods to build reliable machine learning systems robust to failures across subpopulations and environments, including influence functions, distributionally robust optimization, and real-world benchmarks.

• YouTube
• 59 minutes
• On-Demand
• Free Video

GERAD Research Center

The Role of Convexity in Data-Driven Decision-Making

Explore data-driven decision-making through distributionally robust optimization, focusing on computation, statistics, and real-time implementation aspects. Gain insights into online optimization applications.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

GERAD Research Center

The Value of Randomized Strategies in Distributionally Robust Risk-Averse Network Interdiction Problems

Explore distributionally robust risk-averse network interdiction, focusing on randomized strategies' effectiveness in extreme loss scenarios. Gain insights into optimization techniques and numerical experiments.

• YouTube
• 27 minutes
• On-Demand
• Free Video

GERAD Research Center

Data-Driven Decision Making with Entropic Risk Measure

Explore data-driven decision-making using entropic risk measure. Learn bias correction techniques and apply them to project selection, portfolio optimization, and insurance pricing.

• YouTube
• 44 minutes
• On-Demand
• Free Video