لذكراهم
January 25 11:15-12:15
11:15-12:15 Addressing the Unexpected – Anomaly Detection and AI Safety – Job Talk
May 27 10:30-11:30
10:30-11:30 Two Lenses on Deep Learning _Test
January 18 10:30-11:30
10:30-11:30 Artificial Social Intelligence
January 15 10:30-11:30
10:30-11:30 Efficient LLM Systems: From Algorithm Design to Deployment – Job Talk
January 14 11:30-12:30
11:30-12:30 Computational and Statistical Limits in Modern Machine Learning – Job Talk
January 11 10:30-11:30
10:30-11:30 Decision-Making & Reasoning: Behavior, Modeling, and Machine Learning – Jab Talk
January 05 13:30-14:30
13:30-14:30 From Learning Theory to Cryptography: Provable Guarantees for AI – Job Talk
January 04 10:30-11:30
10:30-11:30 Modern Challenges in Learning Theory – Job Talk
December 28 10:30-11:30
10:30-11:30 Creativity and Diversity in AI-Supported Brainstorming
December 24 11:30-12:30
11:30-12:30 Bridging Generative Models and Visual Communication – Job Talk
December 21 10:30-11:30
10:30-11:30 Fundamentals of Aligning General-Purpose AI – Job Talk
December 07 10:30-11:30
10:30-11:30 On Estimation over Large Function Classes – Job Talk
November 23 10:30-11:20
10:30-11:20 Explaining Model Behavior Across Space and Time: Differential and Intertemporal Explanations
November 02 10:30-11:30
10:30-11:30 Learning analytics that facilitate meaningful learning experiences
July 06 10:30-11:30
10:30-11:30 Stable Matching with Ties: Approximation Ratios and Learning
May 04 10:30-11:20
10:30-11:20 Sparse PCA: phase transitions and the near optimality of soft thresholding
April 27 10:30-11:20
10:30-11:20 Optimizing Dynamic Systems: From Effective and Equitable Distribution to Coordinated Two-Stage Order Fulfillment
March 30 10:30-11:20
10:30-11:20 Toward Generative Models that Understand the Visual World
March 16 10:30-11:20
10:30-11:20 Doubly Flexible Estimation under Label Shift
February 09 10:30-11:30
10:30-11:30 Bivariate Survival and Time Series Analysis: New Regression Approaches and Applications
February 02 10:30-11:30
10:30-11:30 Understanding and Enhancing Deep Neural Networks with Automated Interpretability
January 19 10:30-11:30
10:30-11:30 Robust and Actionable ML via Causality
January 15 11:30-12:30
11:30-12:30 Aligning Machine Learning with Society
January 12 10:30-11:30
10:30-11:30 Interpreting the Inner Workings of Vision Models
January 08 11:30-12:30
11:30-12:30 Communal AI – Open, Collaborative & Accessible LLMs
January 07 11:30-12:30
11:30-12:30 Charge fluctuations in the hierarchical Coulomb gas
January 06 10:30-11:30
10:30-11:30 Algebraic Approaches and Deep Neural Models for 3D Scene Reconstruction and Camera Pose Estimation in Static and Dynamic Environments
January 05 10:30-11:30
10:30-11:30 Understanding Generative Models Inside Out: From Representation to Data
January 01 11:30-12:30
11:30-12:30 Adaptive Data Analysis in a Balanced Adversarial Model
December 22 10:30-11:30
10:30-11:30 Algorithmic Contract Design
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