Summary of Rate-preserving Reductions For Blackwell Approachability, by Christoph Dann et al.
Rate-Preserving Reductions for Blackwell Approachabilityby Christoph Dann, Yishay Mansour, Mehryar Mohri, Jon Schneider, Balasubramanian SivanFirst…
Summary of Equivariance Via Minimal Frame Averaging For More Symmetries and Efficiency, by Yuchao Lin et al.
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiencyby Yuchao Lin, Jacob Helwig, Shurui…
Summary of Streamfp: Learnable Fingerprint-guided Data Selection For Efficient Stream Learning, by Tongjun Shi et al.
StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream Learningby Tongjun Shi, Shuhao Zhang, Binbin Chen,…
Summary of When Is An Embedding Model More Promising Than Another?, by Maxime Darrin et al.
When is an Embedding Model More Promising than Another?by Maxime Darrin, Philippe Formont, Ismail Ben…
Summary of Adversarial Machine Unlearning, by Zonglin Di et al.
Adversarial Machine Unlearningby Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik, Yang LiuFirst submitted to arxiv on:…
Summary of Diagnosing and Fixing Common Problems in Bayesian Optimization For Molecule Design, by Austin Tripp et al.
Diagnosing and fixing common problems in Bayesian optimization for molecule designby Austin Tripp, José Miguel…
Summary of Loss Gradient Gaussian Width Based Generalization and Optimization Guarantees, by Arindam Banerjee et al.
Loss Gradient Gaussian Width based Generalization and Optimization Guaranteesby Arindam Banerjee, Qiaobo Li, Yingxue ZhouFirst…
Summary of Efficient Parallel Multi-hop Reasoning: a Scalable Approach For Knowledge Graph Analysis, by Jesmin Jahan Tithi and Fabio Checconi and Fabrizio Petrini
Efficient Parallel Multi-Hop Reasoning: A Scalable Approach for Knowledge Graph Analysisby Jesmin Jahan Tithi, Fabio…
Summary of Multimodal Belief Prediction, by John Murzaku et al.
Multimodal Belief Predictionby John Murzaku, Adil Soubki, Owen RambowFirst submitted to arxiv on: 11 Jun…
Summary of Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection, by Wenxiao Wang et al.
Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selectionby Wenxiao Wang, Weiming Zhuang, Lingjuan…