from predictions to decisions: limitations and possibilities of optimization from samples
Published Streamed 7 years ago • 1.2K plays • Length 48:10Download video MP4
Download video MP3
Similar videos
-
58:40
some limitations and possibilities toward data-driven optimization
-
59:46
using theories of decision-making under uncertainty to improve data visualization
-
41:57
the power of predictions in online optimization
-
34:55
fairness without imputation: a decision tree approach for fair prediction with missing values
-
40:01
approximation algorithms for optimization under uncertainty
-
31:22
the trillion dollar equation
-
59:16
applied numerical algorithms, fall 2023 (lecture 5): condition number for linear systems
-
18:00
bayesian optimization - math and algorithm explained
-
33:23
counterfactual inference using behavioral models: an application to search advertising
-
40:21
decision-making under miscalibration
-
32:51
continuous algorithms: sampling and optimization in high dimension
-
42:11
optimization crash course
-
49:35
validity of decision making algorithms
-
57:22
optimization: first-order methods part 1
-
44:16
machine learning for faster optimization
-
37:25
the limits of group fairness and predictive multiplicity
-
1:03:55
towards reliable use of large language models: better detection, consistency, and instruction-tuning
-
31:55
lp, socp, and optimization-free approaches to polynomial optimization
-
1:04:41
unpacking the black box: regulating algorithmic decisions
-
28:02
stability and convergence trade-off of iterative optimization algorithms