Blockchain and Economics - Progress and Open Questions
Explore economic design in blockchain, focusing on performance incentives, market institutions, and governance in decentralized systems. Learn about applications and open questions in this emerging field.
Independent Learning Dynamics for Stochastic Games - Where Game Theory Meets
Explore independent learning dynamics in stochastic games, bridging game theory and reinforcement learning. Discover convergent algorithms for multi-agent scenarios in dynamic environments.
Machine Learning and Game Theory for Social Impact
Explore machine learning and game theory applications in security, sustainability, and food rescue, featuring real-world deployments and innovative solutions for societal challenges.
Learning and Persuading with Anecdotes - IPAM at UCLA
Explore learning and communication dynamics using anecdotal evidence, examining strategic behaviors, biases, and implications for opinion formation and collective intelligence.
Multi-Agent Common Sense - IPAM at UCLA
Explore multi-agent common sense through mathematical frameworks combining Bayesian learning and game theory. Discover insights into human collaboration, joint intentions, and cultural knowledge acquisition.
Flash Loans, Miner Extractable Value and Efficient Settlement - Joint with Alfred Lehar
Explore flash loans, miner extractable value, and efficient settlement in blockchain systems. Gain insights into decentralized finance challenges and potential solutions.
Introduction to Deep Learning with Applications to Stochastic Control and Games
Explore deep learning applications in stochastic control and games, focusing on key concepts and practical implementations for quantitative finance professionals.
Games: From Logic and Automata to Algorithms
Explore the intersection of logic, automata, and algorithms through game theory, focusing on theoretical foundations and computational applications.
Artificial Intelligence and the Future of Humanity
Explore AI's impact on society, work, and technology. Learn about neural networks, job automation, ethical concerns, and future possibilities from AI expert Andrew Ng.
How AI Can Work for Humanity - NextGen Report Launch and Discussion
Experts discuss AI's impact on society, economy, and labor markets, exploring policies to address challenges and harness AI's potential for societal benefit while mitigating negative effects.
Dragon-Kings, Black-Swans and Prediction - Lorenz Lecture
Explore extreme events, their predictability, and impact on complex systems through statistical physics and nonlinear dynamics in this insightful lecture by D. Sornette.
Intelligent Machines for Smarter Social Policies - Tackling Inequality and Mass Incarceration
Explore how AI and machine learning can revolutionize social policy, addressing issues like inequality and mass incarceration, with insights from Harvard economist Sendhil Mulanthainan.
Computational Transcendence for Emergent Responsible Autonomy
Explore computational transcendence in autonomous systems, examining its impact on decision-making in supply chains and traffic management for enhanced efficiency and responsibility.
International Collaboration in AI and Data Governance - Session 3
Explore international AI collaboration and data governance with insights from the Global Partnership on AI event, featuring keynote speaker Chris Philp MP on fostering cooperation in AI development.
Pandora's Box with Correlations - Learning and Approximation
Explore learning and approximation techniques for correlated Pandora's Box problems, focusing on algorithmic approaches and theoretical insights.
Approximation Schemes for a Unit-Demand Buyer with Independent Items via Symmetries
Explore approximation schemes for unit-demand buyers using symmetries, focusing on independent items and their implications in algorithmic game theory and mechanism design.
Theoretical Foundations of Reinforcement Learning
Explore key concepts and mathematical principles underlying reinforcement learning algorithms, including Markov decision processes, value functions, and policy optimization techniques.
Beyond Automation: Using AI for Good
Exploring AI's potential for societal advancement, ethical considerations, and future implications beyond automation, featuring insights from industry experts and policymakers.
Isogenies and Lattices in Cryptography - Session 12
Explore isogenies and lattices in cryptography, covering twin smooth integers, polynomials, delayed encryption, sealed bid auctions, and lattice-based techniques for enhanced security.
Blockchain and the Future of Networking
Explore blockchain's impact on networking, from creating a global data infrastructure to revolutionizing network operations. Learn about innovative projects and future possibilities in this emerging field.
The Ethical Algorithm - Designing Socially Aware AI
Exploring ethical challenges in AI and machine learning, including data privacy, algorithmic bias, and decision-making transparency. Discusses recent research on socially responsible algorithm design.