model predictions
- Efficient Randomized Experiments Using Foundation Models
- Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
- OrdShap: Feature Position Importance for Sequential Black-Box Models
- Self-Boost via Optimal Retraining: An Analysis via Approximate Message Passing
- Unlocker: Disentangle the Deadlock of Learning between Label-noisy and Long-tailed Data