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• Learning to Decode Collaboratively with Multiple Language Models
• TabLLM: Few-shot Classification of Tabular Data with Large Language Models
• Who Should Predict? Exact Algorithms For Learning to Defer to Humans
• Training Subset Selection for Weak Supervision
• Co-training Improves Prompt-based Learning for Large Language Models
• Large Language Models are Few-Shot Clinical Information Extractors
• Leveraging Time Irreversibility with Order-Contrastive Pre-training
• Graph cuts always find a global optimum for Potts models (with a catch)
• Beyond perturbation stability: LP recovery guarantees for MAP inference on noisy stable instances
• Block Stability for MAP Inference
• MEng Thesis: Perturbation Stability for Approximate MAP Inference
• Optimality of Approximate Inference Algorithms on Stable Instances