Presentations

A Google calendar version of the schedule can be viewed/added using this link. Please double check the location as the location changes occasionally due to scheduling conflicts.

Future

Past

Minimum-Risk Recalibration of Classifiers

2023/09/11 in EECS 2311: Zeyu Sun

Understanding Hierarchical Representations in Deep Networks

2023/09/25 in EECS 2311: Peng Wang

The Emergence of Reproducibility and Consistency in Diffusion Models

2023/10/09 in EECS 2311: Huijie Zhang

On Adapting Nesterov's Scheme to Accelerate Iterative Methods for Linear Problems

2023/10/23 in EECS 4122: Tao Hong

Label Embedding via Low-Coherence Matrices

2023/11/06 in EECS 2311: Jianxin Zhang

Active Sequential Testing of Means

2023/11/20 in EECS 2311: Aditya Gangrade

[Rescheduled] Reinventing the Foundations of Multiclass Classification: Practical Theory for Scalable Algorithms

2024/01/17 in BBB 3901: Yutong Wang

On the Computational Complexity of Private High-dimensional Model Selection via the Exponential Mechanism

2024/01/29 in EECS 2311: Saptarshi Roy

Reinventing the Foundations of Multiclass Classification: Practical Theory for Scalable Algorithms

2024/02/12 in EECS 2311: Yutong Wang

Differentiable Learning of Generalized Structured Matrices for Efficient DNNs

2024/03/04 in EECS 2311: Changwoo Lee

[Canceled] Revisiting the Learnability of Apple Tasting

2024/03/11 in EECS 2311: Vinod Raman

Online Learning with Set-valued Feedback

2024/03/25 in EECS 2311: Unique Subedi

Visual Anagrams: Generating Optical Illusions with Diffusion Models

2024/04/15 in EECS 2311: Daniel Geng