Feb
13
DSI EventsFeb 13, 2023
Matthias Katzfuss (Texas A&M) – Scalable Gaussian-Process Inference via Sparse Inverse Cholesky Factorization
Feb
14
DSI EventsFeb 14, 2023
Ari Holtzman (U. of Washington) – Controlling Large Language Models: Generating (Useful) Text from Models We Don’t Fully Understand
Feb
14
DSI EventsFeb 14, 2023
Gemma Moran (Columbia) – Identifiable Deep Generative Models via Sparse Decoding
Feb
20
DSI EventsFeb 20, 2023
Mina Lee (Stanford) – Designing and Evaluating Language Models for Human Interaction
Feb
20
DSI EventsFeb 20, 2023
Chao Ma (Stanford) – Implicit Bias of Optimization Algorithms and Generalization of Over-Parameterized Neural Networks
Feb
22
DSI EventsFeb 22, 2023
Data Science Preceptorship Info Session
Feb
23
DSI EventsFeb 23, 2023
Amin Karbasi (Yale)
Feb
27
DSI EventsFeb 27, 2023
Tian Li (CMU) – Scalable and Trustworthy Learning in Heterogeneous Networks
Feb
27
DSI EventsFeb 27, 2023
Frederic Koehler (Stanford)
Mar
2
DSI EventsMar 02, 2023
Kristy Choi (Stanford)
Past Events
Feb
7
DSI EventsFeb 07, 2023
Nicole Immorlica (Microsoft Research) – Data, the Fundamental Particle of Interaction
Feb
6
DSI EventsFeb 06, 2023
Alessandro Rinaldo (CMU) – High-Dimensional CLTs: Near-Optimal Rates and Modern Inference for OLS Regression
Jan
31
DSI EventsJan 31, 2023
Emily Diana (Penn) – Addressing Algorithmic Bias and Disclosiveness: Minimax Fairness and Multiaccurate Proxies
Jan
26
DSI EventsJan 26, 2023