Summary of Learning with Multi-group Guarantees For Clusterable Subpopulations, by Jessica Dai et al.
Learning With Multi-Group Guarantees For Clusterable Subpopulationsby Jessica Dai, Nika Haghtalab, Eric ZhaoFirst submitted to…
Learning With Multi-Group Guarantees For Clusterable Subpopulationsby Jessica Dai, Nika Haghtalab, Eric ZhaoFirst submitted to…
Learning to Control the Smoothness of Graph Convolutional Network Featuresby Shih-Hsin Wang, Justin Baker, Cory…
Streaming Deep Reinforcement Learning Finally Worksby Mohamed Elsayed, Gautham Vasan, A. Rupam MahmoodFirst submitted to…
Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributionsby Arman Adibi, Sanjeev Kulkarni, H.…
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarityby Chuang Yang, Renhe Jiang, Xiaohang Xu,…
On the Regularization of Learnable Embeddings for Time Series Forecastingby Luca Butera, Giovanni De Felice,…
Convergence of Manifold Filter-Combine Networksby David R. Johnson, Joyce Chew, Siddharth Viswanath, Edward De Brouwer,…
Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flowsby Sandeep Nagar, Girish…
HR-Bandit: Human-AI Collaborated Linear Recourse Banditby Junyu Cao, Ruijiang Gao, Esmaeil KeyvanshokoohFirst submitted to arxiv…
EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Searchby Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic,…