Enhancing In-context Learning via Linear Probe Calibration
- Momin Abbas
- Yi Zhou
- et al.
- 2024
- AISTATS 2024
Conference paper
Publications
9 results at AISTATS 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
- Divyansh Jhunjhunwala
- Shiqiang Wang
- et al.
- 2024
- AISTATS 2024
Conference paperManifold-Aligned Counterfactual Explanations for Neural Networks
- Georgia Perakis
- Wei Sun
- et al.
- 2024
- AISTATS 2024
Conference paperTheory-guided Message Passing Neural Network for Probabilistic Inference
- Zijun Cui
- Hanjing Wang
- et al.
- 2024
- AISTATS 2024
Conference paperLearning Granger Causality from Instance-wise Self-attentive Hawkes Processes
- Dongxia Wu
- Ide-San Ide
- et al.
- 2024
- AISTATS 2024
Conference paperCausal Bandits with General Causal Models and Interventions
- Zirui Yan
- Dennis Wei
- et al.
- 2024
- AISTATS 2024
Conference paperClustering Items From Adaptively Collected Inconsistent Feedback
- Shubham Gupta
- Peter Staar
- et al.
- 2024
- AISTATS 2024
Conference paperAchieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers
- Natalia Martinez Gil
- Martin Bertran
- et al.
- 2024
- AISTATS 2024
Conference paperAsynchronous Randomized Trace Estimation
- Vasileios Kalantzis
- Shashanka Ubaru
- et al.
- 2024
- AISTATS 2024
Conference paper