Tamara Broderick
2.85K subscribers
1:01:37
Tin Nguyen: "Sensitivity of MCMC-based analyses to small-data removal"
Tamara Broderick
134 views • 5 months ago
1:17:17
Tamara Broderick: "Toward a taxonomy of trust for probabilistic data analysis"
Tamara Broderick
285 views • 7 months ago
10:41
Soumya Ghosh: "Are you using test log-likelihood correctly?"
Tamara Broderick
96 views • 7 months ago
47:24
Brian Trippe: "Advances in Bayesian Linear Modeling in High Dimensions"
Tamara Broderick
639 views • 2 years ago
14:50
William Stephenson: "Can we globally optimize cross-validation loss?"
Tamara Broderick
265 views • 2 years ago
15:34
Lorenzo Masoero: "Bayesian nonparametrics for maximizing power in rare variants association studies"
Tamara Broderick
249 views • 2 years ago
14:11
Soumya Ghosh: "Approximate Cross-Validation for Structured Models"
Tamara Broderick
208 views • 3 years ago
14:44
Raj Agrawal: "High-Dimensional Variable Selection & Nonlinear Interaction Discovery in Linear Time"
Tamara Broderick
314 views • 3 years ago
13:25
Nicholas Bonaker: "Nomon: A Flexible, Bayesian Interface for Motor-Impaired Users"
Tamara Broderick
458 views • 3 years ago
1:23:02
MIT: Machine Learning 6.036, Lecture 14: Guest lecture (David Sontag) (Fall 2020)
Tamara Broderick
2.3K views • 3 years ago
1:15:28
MIT: Machine Learning 6.036, Lecture 13: Clustering (Fall 2020)
Tamara Broderick
6.7K views • 3 years ago
1:20:33
MIT: Machine Learning 6.036, Lecture 12: Decision trees and random forests (Fall 2020)
Tamara Broderick
17K views • 3 years ago
1:20:48
MIT: Machine Learning 6.036, Lecture 11: Recurrent neural networks (Fall 2020)
Tamara Broderick
2.5K views • 3 years ago
1:22:25
MIT: Machine Learning 6.036, Lecture 10: Reinforcement learning (Fall 2020)
Tamara Broderick
3.1K views • 3 years ago
1:21:55
MIT: Machine Learning 6.036, Lecture 9: State machines and Markov decision processes (Fall 2020)
Tamara Broderick
4.1K views • 3 years ago
1:22:15
MIT: Machine Learning 6.036, Lecture 8: Convolutional neural networks (Fall 2020)
Tamara Broderick
4.2K views • 3 years ago
0:28
MIT: Machine Learning 6.036, Lecture 7: Brief intermission (Fall 2020)
Tamara Broderick
2K views • 3 years ago
1:21:15
MIT: Machine Learning 6.036, Lecture 6: Neural networks (Fall 2020)
Tamara Broderick
6.3K views • 3 years ago
1:22:12
MIT: Machine Learning 6.036, Lecture 5: Regression (Fall 2020)
Tamara Broderick
6.6K views • 3 years ago
1:21:14
MIT: Machine Learning 6.036, Lecture 4: Logistic regression (Fall 2020)
Tamara Broderick
15K views • 3 years ago
1:21:15
MIT: Machine Learning 6.036, Lecture 3: Features (Fall 2020)
Tamara Broderick
8.3K views • 3 years ago
1:19:54
MIT: Machine Learning 6.036, Lecture 2: Perceptrons (Fall 2020)
Tamara Broderick
16K views • 3 years ago
1:20:57
MIT: Machine Learning 6.036, Lecture 1: Basics (Fall 2020)
Tamara Broderick
42K views • 3 years ago
14:07
Brian Trippe: "Bayes Estimates for Multiple Related Regressions" (JSM 2020)
Tamara Broderick
228 views • 4 years ago
14:15
Lorenzo Masoero: "Predicting and maximizing genomic variety discovery via Bayesian nonparametrics"
Tamara Broderick
536 views • 4 years ago
9:27
Tamara Broderick: "Approximate Cross-Validation for Complex Models"
Tamara Broderick
234 views • 4 years ago
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