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On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice
This paper considers problems of multi-armed bandits with expert advice (MwE) [Auer et al.,
A Unified, Scalable Framework for Neural Population Decoding
Unlike the case for text--wherein every document written in a given language shares a basic lexicon for tokenization--there is no one-to-one correspondence between neurons in different individuals.
REx: Data-Free Residual Quantization Error Expansion
Deep neural networks (DNNs) are ubiquitous in computer vision and natural language processing, but suffer from high inference cost.
Robust Gaussian Processes via Relevance Pursuit
We compare the model's performance relative to other approaches on diverse regression and Bayesian optimization tasks, including the challenging but common
Optimizing over trained GNNs via symmetry breaking
Although GNNs are powerful tools for these "forward" prediction tasks, few works discuss the "backward" (or inverse) problem defined on trained GNNs.
Detecting and Measuring Confounding Using Causal Mechanism Shifts
Existing methods frequently assume causal sufficiency, disregarding the presence of unobserved confounding variables.
KuaiSim: A Comprehensive Simulator for Recommender Systems
KuaiRand Dataset and compare them against KuaiSim to further assess their performance and behavioral differences.
