Centre for Networked Intelligence, IISc Courses

Efficiently Serving Large Language Models - Optimizing Performance and Resource Management

Delve into efficient serving techniques for Large Language Models, exploring scheduling, memory management, and optimization strategies for cost-effective deployment and resource utilization in production environments.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Risk-Sensitive Bandits - Arm Mixtures Optimality and Regret-Efficient Algorithms

Delve into risk-aware sequential decision-making through distortion riskmetrics, exploring optimal arm mixture strategies and new algorithms for tracking these mixtures in multi-armed bandit problems.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Flipped Huber - A New Additive Noise Mechanism for Differential Privacy

Discover a novel additive noise mechanism for differential privacy that combines Laplace and Gaussian distributions, offering enhanced privacy protection while maintaining data accuracy in query responses.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Schema Generation for Querying a Data Lakehouse

Explore schema generation techniques using LLMs for data lakehouse querying, focusing on GraphQL implementation, knowledge infusion, and reasoning capabilities for effective data retrieval.

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

Low Complexity Optimal Policies for Networked Control Systems

Explore optimal scheduling policies for wireless networked control systems, focusing on channel observation, risk-sensitive cost criteria, and half-duplex controller scenarios in communication networks.

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

Sample-Efficient Constrained Reinforcement Learning with General Parameterized Policies

Delve into advanced reinforcement learning concepts with Dr. Mondal as he explores sample-efficient algorithms for Constrained Markov Decision Processes, focusing on parameterized policies and practical applications.

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

Markov Chain Variance Estimation - A Stochastic Approximation Approach

Delve into advanced statistical methods for Markov chain variance estimation, exploring stochastic approximation techniques and their applications in reinforcement learning and sequential decision-making.

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

Codes for Unexpected and Expected Loads in Distributed Computing Systems

Explore coding theory applications in distributed computing systems, focusing on erasure coding's role in handling unpredictable data access patterns and optimizing storage efficiency.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Random Separating Hyperplane Theorem and Learning Polytopes

Delve into advanced mathematical concepts of hyperplane theorem, polytope learning, and optimization oracles with applications in machine learning's hidden variable problems.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Online Learning for Hierarchical Inference

Explore hierarchical inference optimization through online learning algorithms, focusing on efficient distributed inference between edge devices and cloud servers using confidence metric thresholds.

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

Leveraging WiFi for Robust and Resource-Efficient SLAM

Discover how WiFi radios can revolutionize indoor robot navigation through SLAM, offering robust performance with 6x improvement over odometry while reducing computational demands by 4x compared to visual systems.

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

Learning in the Presence of Strategic Decision Making

Explore strategic learning challenges in machine decision-making systems, focusing on robust algorithms for handling strategic classification and representation in human-AI interactions.

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

Designing Robust Algorithms for Data Streams with Adversarial Generation

Explore advanced techniques for designing robust streaming algorithms that maintain accuracy even under adversarial data manipulation, focusing on Missing Item Finding and graph coloring challenges.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

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

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.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Guaranteed Performance Analysis of Networks with Bandwidth-Sharing Schedulers

Delve into bandwidth-sharing schedulers and network performance analysis, focusing on Deficit Round-Robin algorithms and their implementation in real-time systems for optimized traffic management and guaranteed service delivery.

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