Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...
Faster Approximation Algorithms for k-Center via Data Reduction Tuning LLM Judge Design Decisions for 1/1000 of the Cost Sample Efficient Demonstration Selection for In-Context Learning InfoCons: ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results