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Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford
Neural Information Processing Systems
Which transformer scaling regimes are able to perfectly solve different classes of algorithmic problems?
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New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
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A neural network (cf. Figure 1) can be thought of as a directed acyclic network consisting of
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Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Shuguang Y u
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Before deploying any newly developed policy, it is important to assess its impact. In many high-stakes domains, it is risky or unethical to implement such policies directly for online evaluation.
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