One-Bit Quantization and Sparsification for Multiclass Linear Classification with Strong Regularizationby Reza Ghane, Danil Akhtiamov,…
Low-Rank Approximation of Structural Redundancy for Self-Supervised Learningby Kang Du, Yu XiangFirst submitted to arxiv…
Comparison of machine learning and statistical approaches for digital elevation model (DEM) correction: interim resultsby…
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Lossby Ingvar…
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responsesby Adel Javanmard, Matthew Fahrbach, Vahab MirrokniFirst…
An Optimal House Price Prediction Algorithm: XGBoostby Hemlata Sharma, Hitesh Harsora, Bayode OgunleyeFirst submitted to…
Adaptive Optimization for Prediction with Missing Databy Dimitris Bertsimas, Arthur Delarue, Jean PauphiletFirst submitted to…
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Databy Yue Xing, Xiaofeng Lin,…
Superiority of Multi-Head Attention in In-Context Linear Regressionby Yingqian Cui, Jie Ren, Pengfei He, Jiliang…
Locality Sensitive Sparse Encoding for Learning World Models Onlineby Zichen Liu, Chao Du, Wee Sun…