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V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs
Equally contribute to this research.
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training
A neural network (cf. Figure 1) can be thought of as a directed acyclic network consisting of
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Shuguang Y u
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.
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
However, evaluating whether or not these approximations can be trusted remains a challenge. Most approaches evaluate the posterior estimator only in expectation over the observation space.
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search Indradyumna Roy
In many search applications related to passage retrieval, text entailment, and sub-graph search, the query and each'document' is a set of elements, with a document
8eb88844dafefa92a26aaec9f3acad93-Paper-Datasets_and_Benchmarks_Track.pdf
Ideally,languagemodelswould reflect the cultural norms of various regions around the world and generate culturally appropriate content when responding inlocallanguages oftheregions, unless otherwise specified.