Differentially private M-estimation via noisy optimization
Feb
27
Date(s)
Summary
Prof Po-Ling Loh (University of Cambridge)
Packard 202
Packard 202
Displaying 1 - 10 of 48 results.
Control Across Scales and Applications to Traffic Management
May
30
Date(s)
Summary
Prof Murat Arcak (UC Berkeley)
Packard 202
Packard 202
Cardinal-Utility Matching Markets: From Tractability to Intractability ... and Back!
May
23
Date(s)
Summary
Vijay Vazirani (Distinguished Professor, UC Irvine)
Packard 101
Packard 101
Challenges & Opportunities for Learning in Strategic Environments
Apr
25
Date(s)
Summary
Prof Eric Mazumdar (Caltech)
Packard 202
Packard 202
What makes learning to control easy or hard?
Apr
18
Date(s)
Summary
Prof Nikolai Matni (Univ of Pennsylvania)
Packard 202
Packard 202
Design and Analysis of Decentralized Learning Enabled Multi-Agent Systems
Mar
14
Date(s)
Summary
Chinmay Maheshwari (UC Berkeley)
Packard 202
Packard 202
What Algorithms can Transformers Learn? A Study in Length Generalization
Mar
7
Date(s)
Summary
Preetum Nakkiran (Research Scientist, Apple Research)
Packard 202 (in person)
Please join us for coffee and snacks at 3:30pm in the kitchen on the 2nd floor of Packard.
Packard 202 (in person)
Please join us for coffee and snacks at 3:30pm in the kitchen on the 2nd floor of Packard.
From Large to Small Datasets: Size Generalization for Clustering Algorithm Selection
Mar
29
Date(s)
Summary
Prof Ellen Vitercik (Stanford)
Packard 202
Packard 202
Solving semirandom planted CSPs via SDP-certificates and spectral sparsification
Feb
22
Date(s)
Summary
Prof Venkatesan Guruswami (UC Berkeley)
Packard 202
Packard 202
Clustering for causal inference under network interference
Feb
15
Date(s)
Summary
Prof Johan Ugander (Stanford)
Packard 202
Packard 202