Education
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
However, it is known that even with infinite i.i.d.
Deductive Verification of Chain-of-Thought Reasoning
To facilitate this procedure, we propose Natural Program, a natural language-based deductive reasoning format. Our approach enables models to generate precise reasoning steps where subsequent steps are more rigorously grounded on prior steps.
Strategic Behavior in Two sided Matching Markets
In this case, refugees are the non-returning agents, and locations are the returning agents.
Strategic Behavior in Two-sided Matching Markets with Recommendation-enhanced Preference-formation
Two-sided matching markets have long existed to pair agents in the absence of regulated exchanges.
models (LMs). Given a fixed budget of tokens, we study how to best select data
A natural way to unlock particular capabilities is to improve this training data.
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
We also present a new benchmark for evaluating Continual Learning of NeRFs with comprehensive metrics.
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets
Fairness and robustness are two important goals in the desig n of modern distributed learning systems. Despite a few prior works attemp ting to achieve both fairness and robustness, some key aspects of this direction remain underexplored. In this paper, we try to answer three largely unnoticed and un addressed questions that are of paramount significance to this topic: (i) What mak es jointly satisfying fairness and robustness difficult?