Statistical Learning
A Proofs of Propositions
Deep directed generative models with energy-based probability estimation.
Nearly-Tight and Oblivious Algorithms for Explainable Clustering: Full Version
The algorithm is remarkably simple.
Instance-based Learning for Knowledge Base Completion
In this paper, we propose a new method for knowledge base completion (KBC): instance-based learning (IBL). For example, to answer (Jill Biden, lived city,?
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning
In this vein of research, Reid et al. studied the effect of pre-training of Transformers on offline reinforcement learning (offline RL) tasks [
Unsupervised Object-Level Representation Learning from Scene Images
Our key insight is to leverage image-level self-supervised pre-training as the prior to discover object-level semantic correspondence, thus realizing object-level representation learning from scene images.
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization Songtao Lu
Classical bilevel optimization is referred to as the case where there is no consensus constraint but with only two levels of the minimization subproblems, i.e.,
