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Validity for unseen data?
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Classroom Contents
Recent Progress in Predictive Inference - Emmanuel Candes, Stanford University
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- 1 Intro
- 2 Data ethics 101: convey uncertainty and reliable outcomes
- 3 Previous work on conformal inference
- 4 Prediction intervals
- 5 Setting with perfect knowledge
- 6 Formulate quantile estimation as a learning task
- 7 Validity for unseen data?
- 8 Calibrate: how?
- 9 Comparison with other implementations of conformal inference
- 10 Predicting utilization of medical services
- 11 Online methods?
- 12 Adapting conformal to distribution shift
- 13 Connections
- 14 Estimating volatility in the stock market
- 15 Distribution free theory
- 16 Hidden Markov model
- 17 Predicting county level election results
- 18 From tolerance region to PAC-learning
- 19 Learn then test: risk calibration via multiple hypothesis testing
- 20 Example: object detection
- 21 Summary
