Optimization
HW-Aware-GPT-Bench
NA answer to this question will not be perceived well by the reviewers.
HW-Aware-GPT-Bench
This energy usage is comparable to that of around 180,000 U.S. households, each
Model-Based Diffusion for Trajectory Optimization
Additionally, MBD's ability to integrate with data enhances its versatility and
Initializing Services in Interactive ML Systems for Diverse Users
This paper investigates ML systems serving a group of users, with multiple models/services, each aimed at specializing to a sub-group of users.
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problems
Then we follow recent works to pursue the weak approximate solutions.
No-Regret M-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
Taihei Oki, Hokkaido University, Hokkaido, Japan, oki@icredd.hokudai.ac.jp "3026 Shinsaku Sakaue[1], The University of Tokyo and RIKEN AIP, Tokyo, Japan, sakaue@mist.i.u-tokyo.ac.jp
Geometric-A veraged Preference Optimization for Soft Preference Labels
However, human preferences can vary across individuals, and therefore should be represented distributionally.