Summary of Statistical Inference For Temporal Difference Learning with Linear Function Approximation, by Weichen Wu et al.
Statistical Inference for Temporal Difference Learning with Linear Function Approximationby Weichen Wu, Gen Li, Yuting…
Summary of Large Deviations and Improved Mean-squared Error Rates Of Nonlinear Sgd: Heavy-tailed Noise and Power Of Symmetry, by Aleksandar Armacki et al.
Large Deviations and Improved Mean-squared Error Rates of Nonlinear SGD: Heavy-tailed Noise and Power of…
Summary of Reward Maximization For Pure Exploration: Minimax Optimal Good Arm Identification For Nonparametric Multi-armed Bandits, by Brian Cho et al.
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Banditsby Brian…
Summary of Deep Learning-based Detection Of Bacterial Swarm Motion Using a Single Image, by Yuzhu Li et al.
Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Imageby Yuzhu Li, Hao Li,…
Summary of Controllable Ransac-based Anomaly Detection Via Hypothesis Testing, by Le Hong Phong et al.
Controllable RANSAC-based Anomaly Detection via Hypothesis Testingby Le Hong Phong, Ho Ngoc Luat, Vo Nguyen…
Summary of Truncated Consistency Models, by Sangyun Lee et al.
Truncated Consistency Modelsby Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat,…
Summary of Flexi-fuzz Least Squares Svm For Alzheimer’s Diagnosis: Tackling Noise, Outliers, and Class Imbalance, by Mushir Akhtar et al.
Flexi-Fuzz least squares SVM for Alzheimer’s diagnosis: Tackling noise, outliers, and class imbalanceby Mushir Akhtar,…
Summary of In-context Learning For Mixture Of Linear Regressions: Existence, Generalization and Training Dynamics, by Yanhao Jin et al.
In-context Learning for Mixture of Linear Regressions: Existence, Generalization and Training Dynamicsby Yanhao Jin, Krishnakumar…
Summary of Influence Functions For Scalable Data Attribution in Diffusion Models, by Bruno Mlodozeniec et al.
Influence Functions for Scalable Data Attribution in Diffusion Modelsby Bruno Mlodozeniec, Runa Eschenhagen, Juhan Bae,…
Summary of Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: a Unified Framework and High-probability Guarantees, by Aleksandar Armacki et al.
Nonlinear Stochastic Gradient Descent and Heavy-tailed Noise: A Unified Framework and High-probability Guaranteesby Aleksandar Armacki,…