On the Statistical Complexity of Reinforcement Learning
Explores statistical complexities in reinforcement learning, covering sample complexity, regret analysis, and off-policy evaluation. Discusses minimax-optimal approaches and function approximation in MDPs.
ADSI Summer Workshop- Algorithmic Foundations of Learning and Control
Explore stable and efficient reinforcement learning algorithms with Csaba Szepesvári's presentation on Politex, focusing on generalization and pseudo regret in online learning and linear prediction.
Streaming and Learning Algorithms - Session 7C
Explore cutting-edge streaming and learning algorithms in this IEEE session, focusing on recent advancements and applications in data processing and machine learning.
Federated Learning with Formal User-Level Differential Privacy Guarantees
Explore federated learning with differential privacy guarantees, covering key concepts, challenges, and algorithms like DP-SGD and DP-FTRL, with insights on privacy-utility trade-offs and future directions.
Learning With and From People - Collaborative Consumption Systems and User Engagement
Exploring collaborative consumption systems and incentivizing user behavior for improved system effectiveness, with focus on shared mobility and online marketplaces.
Bandits II - Advanced Algorithms and Applications
Explore advanced bandit algorithms and their applications in decision-making under uncertainty with Kevin Jamieson from the University of Washington.
Online Learning Strategies for Optical Neural Networks and Photonic Circuits
Explore advanced strategies for implementing online learning in optical neural networks and photonic circuits, enhancing computational efficiency and performance.
Communication to Globalize Dance
Dr. Pali Chandra shares her journey of globalizing Kathak through online learning, presenting a 3-step plan to teach dance effectively using technology and reaching a wider audience.
Warum Momentan Lernvideos Auf YouTube Durch Die Decke Gehen - English Translation
Exploring the surge in educational YouTube videos and their impact on learning and teaching, with insights from an electrical engineering YouTuber on trends and opportunities in digital education.
Warum Momentan Lernvideos auf YouTube Durch die Decke Gehen
Analyse des Trends zu YouTube-Lernvideos: Vorteile, Auswirkungen auf Bildung und Chancen für die Zukunft. Einblicke eines erfolgreichen Elektrotechnik-YouTubers zur Digitalisierung des Lernens.
Chatbots and the Future of Online Learning
Explore the potential of chatbots in online education with Duolingo's Severin Hacker, discussing their impact on learning, user engagement, and future applications.
The Helping Hands
Unsung heroes: Teachers' challenges during COVID and online learning. Explore inspiring stories and the impact of uncertified educators in Indonesia, shaping the future despite adversity.
Realtime-Cognitive IoT Using DeepLearning and Online Learning
Explore DeepLearning4J on Apache Spark for IoT anomaly detection using LSTM autoencoder neural networks. Learn scalable machine learning techniques for real-time cognitive IoT applications.
Patterns of ML Models in Production
Explore ML model deployment patterns for production, covering online serving, offline processing, and scalable frameworks like Ray Serve, with insights from 100+ user interviews.
Live and Machine Learn
Exploring the impact of machine learning on society, discussing potential dangers and opportunities for positive change through responsible technology use.
Streams, Lakes and Oceans - Working with Big Data with Azure ML
Explore big data architectures with Azure ML Studio, covering integration, customization, and scaling for effective machine learning on large datasets.
Starts with a Search
Discover innovative approaches to create engaging online learning experiences for developers, focusing on browser-based C# and .NET education without leaving your computer.
Designing Digital Education for Human Connection
Explore innovative approaches to digital education that foster human connection, curiosity, and meaningful technology use, emphasizing the potential for transformative learning experiences in our digital society.
Online Learning and Mistake Bound Analysis - Lecture 6B
Explore online learning algorithms and performance quantification through mistake bound methodology, focusing on mistake-driven learning approaches.
MOOCとブレンディッド・ティーチングの促進：大学と教員としての経験から
Discover MOOCとブレンディッド・ティーチングの 実践経験について、北京大学のXiaoming Li教授が大学教育のデジタル変革における知見を共有する特別講演。
OE Japan の活動紹介 - 世界と日本のオープンエデュケーション 2020年3月26日
Discover OE Japanの活動と展望について学び、日本のオープンエデュケーションの現状と将来の方向性を探る18分間の洞察に満ちた講演。