Faculty Seminar

10:30-11:30 On Estimation over Large Function Classes

• Gil Kur
• Bloomfield 527

10:30-11:20 Explaining Model Behavior Across Space and Time: Differential and Intertemporal Explanations

• Yaron Shaposhnik
• Bloomfield 527

10:30-11:30 Learning analytics that facilitate meaningful learning experiences

• Roll, Ido
• Bloomfield 527

10:30-11:30 Stable Matching with Ties: Approximation Ratios and Learning

• Merlis, Nadav
• Bloomfield 527

10:30-11:20 Sparse PCA: phase transitions and the near optimality of soft thresholding

• Michael J. Feldman
• ZOOM

10:30-11:20 Optimizing Dynamic Systems: From Effective and Equitable Distribution to Coordinated Two-Stage Order Fulfillment

• Gal Neria
• Bloomfield 527

10:30-11:20 Toward Generative Models that Understand the Visual World

• Hila Chefer
• Bloomfield 527

10:30-11:20 Doubly Flexible Estimation under Label Shift

• Yanyuan Ma
• Bloomfield 527

10:30-11:30 Making Neural Networks Linear Again: Projection and Beyond

• Assaf Shocher
• Bloomfield 527

10:30-11:30 Bivariate Survival and Time Series Analysis: New Regression Approaches and Applications

• Yael Travis
• Bloomfield 527

10:30-11:30 Understanding and Enhancing Deep Neural Networks with Automated Interpretability

• Tamar Rott Shaham
• Bloomfield 527

10:30-11:30 Robust and Actionable ML via Causality

• Yoav Wald
• Bloomfield 527

10:30-11:30 Robust and Actionable ML via Causality

• Yoav Wald
• Bloomfield 527

11:30-12:30 Aligning Machine Learning with Society

• Lee Cohen
• Bloomfield 424

10:30-11:30 Interpreting the Inner Workings of Vision Models

• Yossi Gandelsman
• Bloomfield 527

11:30-12:30 Communal AI – Open, Collaborative & Accessible LLMs

• Leshem Choshen
• Bloomfield 424

11:30-12:30 Charge fluctuations in the hierarchical Coulomb gas

• Alon Nishry
• Meyer 861

10:30-11:30 Algebraic Approaches and Deep Neural Models for 3D Scene Reconstruction and Camera Pose Estimation in Static and Dynamic Environments

• Yoni Kasten
• Bloomfield 527

10:30-11:30 Understanding Generative Models Inside Out: From Representation to Data

• Yanai Elazar
• Bloomfield 527

10:30-11:30 Understanding Generative Models Inside Out: From Representation to Data

• Yanai Elazar
• Bloomfield 527

11:30-12:30 Adaptive Data Analysis in a Balanced Adversarial Model

• Eliad Tsfadia
• Bloomfield 424

10:30-11:30 Algorithmic Contract Design

• Tomer Ezra
• Bloomfield 527