Media Summary: TITLE: Machine learning for discrete optimization: Theoretical foundations SPEAKER: Ellen Vitercik (Stanford University) ... TITLE: Neuromorphic LLMs SPEAKER: Jason Eshraghian (UC Santa Cruz) ABSTRACT: This talk will show you what ... TITLE: Certifiably Correct Machine Perception SPEAKER: David Rosen (Northeastern University) ABSTRACT: Many
Tilos Seminar Foundational Methods For - Detailed Analysis & Overview
TITLE: Machine learning for discrete optimization: Theoretical foundations SPEAKER: Ellen Vitercik (Stanford University) ... TITLE: Neuromorphic LLMs SPEAKER: Jason Eshraghian (UC Santa Cruz) ABSTRACT: This talk will show you what ... TITLE: Certifiably Correct Machine Perception SPEAKER: David Rosen (Northeastern University) ABSTRACT: Many TITLE: A New Paradigm for Learning with Distribution Shift SPEAKER: Adam Klivans (UT Austin) ABSTRACT: We revisit the ... TITLE: Incentivizing Emergent Behaviors for LLMs via Reinforcement Learning SPEAKER: Yi Wu (Tsinghua University) ... TITLE: Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation SPEAKER: Andrej Risteski (Carnegie ...
TITLE: How Large Models of Language and Vision Help Agents to Learn to Behave SPEAKER: Roy Fox, Assistant Professor and ... TITLE: A Mixture of Past, Present, and Future SPEAKER: Arya Mazumdar, Associate Professor, UC San Diego ABSTRACT: The ... TITLE: Large Datasets and Models for Robots in the Real World SPEAKER: Nicklas Hansen, UC San Diego ABSTRACT: Recent ...
