Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimizationby Audrey Huang,…
Audio-visual Generalized Zero-shot Learning the Easy Wayby Shentong Mo, Pedro MorgadoFirst submitted to arxiv on:…
Integrated Hardware Architecture and Device Placement Searchby Irene Wang, Jakub Tarnawski, Amar Phanishayee, Divya MahajanFirst…
PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methodsby WooJae Jeon, KangJun Lee, Jeewoo LeeFirst…
Data-Driven Estimation of Conditional Expectations, Application to Optimal Stopping and Reinforcement Learningby George V. MoustakidesFirst…
LiNR: Model Based Neural Retrieval on GPUs at LinkedInby Fedor Borisyuk, Qingquan Song, Mingzhou Zhou,…
Improving SAM Requires Rethinking its Optimization Formulationby Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos, Thomas Pethick,…
High-Quality Tabular Data Generation using Post-Selected VAEby Volodymyr ShulakovFirst submitted to arxiv on: 17 Jul…
AutoFlow: Automated Workflow Generation for Large Language Model Agentsby Zelong Li, Shuyuan Xu, Kai Mei,…
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequalityby Kushal Chakrabarti, Mayank…