Summary of E-cop : Episodic Constrained Optimization Of Policies, by Akhil Agnihotri et al.
e-COP : Episodic Constrained Optimization of Policiesby Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil SinglaFirst…
Summary of Enhancing Domain Adaptation Through Prompt Gradient Alignment, by Hoang Phan et al.
Enhancing Domain Adaptation through Prompt Gradient Alignmentby Hoang Phan, Lam Tran, Quyen Tran, Trung LeFirst…
Summary of Why Warmup the Learning Rate? Underlying Mechanisms and Improvements, by Dayal Singh Kalra and Maissam Barkeshli
Why Warmup the Learning Rate? Underlying Mechanisms and Improvementsby Dayal Singh Kalra, Maissam BarkeshliFirst submitted…
Summary of Ridge Interpolators in Correlated Factor Regression Models — Exact Risk Analysis, by Mihailo Stojnic
Ridge interpolators in correlated factor regression models – exact risk analysisby Mihailo StojnicFirst submitted to…
Summary of Precise Analysis Of Ridge Interpolators Under Heavy Correlations — a Random Duality Theory View, by Mihailo Stojnic
Precise analysis of ridge interpolators under heavy correlations – a Random Duality Theory viewby Mihailo…
Summary of Hadamard Representations: Augmenting Hyperbolic Tangents in Rl, by Jacob E. Kooi et al.
Hadamard Representations: Augmenting Hyperbolic Tangents in RLby Jacob E. Kooi, Mark Hoogendoorn, Vincent François-LavetFirst submitted…
Summary of Jacobian-enhanced Neural Networks, by Steven H. Berguin
Jacobian-Enhanced Neural Networksby Steven H. BerguinFirst submitted to arxiv on: 13 Jun 2024CategoriesMain: Machine Learning…
Summary of Chain Of Preference Optimization: Improving Chain-of-thought Reasoning in Llms, by Xuan Zhang et al.
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMsby Xuan Zhang, Chao Du, Tianyu Pang,…
Summary of Generative Ai-based Prompt Evolution Engineering Design Optimization with Vision-language Model, by Melvin Wong et al.
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Modelby Melvin Wong, Thiago Rios, Stefan…
Summary of Schur’s Positive-definite Network: Deep Learning in the Spd Cone with Structure, by Can Pouliquen and Mathurin Massias and Titouan Vayer
Schur’s Positive-Definite Network: Deep Learning in the SPD cone with structureby Can Pouliquen, Mathurin Massias,…