Summary of Cubic Regularized Subspace Newton For Non-convex Optimization, by Jim Zhao et al.
Cubic regularized subspace Newton for non-convex optimizationby Jim Zhao, Aurelien Lucchi, Nikita DoikovFirst submitted to…
Cubic regularized subspace Newton for non-convex optimizationby Jim Zhao, Aurelien Lucchi, Nikita DoikovFirst submitted to…
EVCL: Elastic Variational Continual Learning with Weight Consolidationby Hunar Batra, Ronald ClarkFirst submitted to arxiv…
The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regretby…
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extractionby Yuncheng Hua, Yujin Huang, Shuo…
Efficient Graph Similarity Computation with Alignment Regularizationby Wei Zhuo, Guang TanFirst submitted to arxiv on:…
Pathological Regularization Regimes in Classification Tasksby Maximilian Wiesmann, Paul LarsenFirst submitted to arxiv on: 20…
On Newton’s Method to Unlearn Neural Networksby Nhung Bui, Xinyang Lu, Rachael Hwee Ling Sim,…
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labellingby Cassio F. Dantas, Raffaele Gaetano, Dino…
Information Guided Regularization for Fine-tuning Language Modelsby Mandar Sharma, Nikhil Muralidhar, Shengzhe Xu, Raquib Bin…
Scalable unsupervised alignment of general metric and non-metric structuresby Sanketh Vedula, Valentino Maiorca, Lorenzo Basile,…