Summary of Testing the Feasibility Of Linear Programs with Bandit Feedback, by Aditya Gangrade et al.
Testing the Feasibility of Linear Programs with Bandit Feedbackby Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama,…
Summary of On Giant’s Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion, By Chenghao Fan et al.
On Giant’s Shoulders: Effortless Weak to Strong by Dynamic Logits Fusionby Chenghao Fan, Zhenyi Lu,…
Summary of Goal: a Generalist Combinatorial Optimization Agent Learner, by Darko Drakulic et al.
GOAL: A Generalist Combinatorial Optimization Agent Learnerby Darko Drakulic, Sofia Michel, Jean-Marc AndreoliFirst submitted to…
Summary of Hlq: Fast and Efficient Backpropagation Via Hadamard Low-rank Quantization, by Seonggon Kim et al.
HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantizationby Seonggon Kim, Eunhyeok ParkFirst submitted to…
Summary of Pessimistic Asynchronous Sampling in High-cost Bayesian Optimization, by Amanda A. Volk et al.
Pessimistic asynchronous sampling in high-cost Bayesian optimizationby Amanda A. Volk, Kristofer G. Reyes, Jeffrey G.…
Summary of A Review Of Feature Selection Strategies Utilizing Graph Data Structures and Knowledge Graphs, by Sisi Shao et al.
A review of feature selection strategies utilizing graph data structures and knowledge graphsby Sisi Shao,…
Summary of Training Greedy Policy For Proposal Batch Selection in Expensive Multi-objective Combinatorial Optimization, by Deokjae Lee et al.
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimizationby Deokjae Lee, Hyun…
Summary of Direct Multi-turn Preference Optimization For Language Agents, by Wentao Shi et al.
Direct Multi-Turn Preference Optimization for Language Agentsby Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang,…
Summary of Enhancing Dropout-based Bayesian Neural Networks with Multi-exit on Fpga, by Hao Mark Chen et al.
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGAby Hao Mark Chen, Liam Castelli, Martin…
Summary of A Benchmark Study Of Deep-rl Methods For Maximum Coverage Problems Over Graphs, by Zhicheng Liang et al.
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphsby Zhicheng Liang, Yu…