Summary of Less Is More: Fewer Interpretable Region Via Submodular Subset Selection, by Ruoyu Chen et al.
Less is More: Fewer Interpretable Region via Submodular Subset Selectionby Ruoyu Chen, Hua Zhang, Siyuan…
Less is More: Fewer Interpretable Region via Submodular Subset Selectionby Ruoyu Chen, Hua Zhang, Siyuan…
Optimal and Efficient Algorithms for Decentralized Online Convex Optimizationby Yuanyu Wan, Tong Wei, Bo Xue,…
Switch EMA: A Free Lunch for Better Flatness and Sharpnessby Siyuan Li, Zicheng Liu, Juanxi…
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learningby Yousef Alsenani,…
ResQuNNs:Towards Enabling Deep Learning in Quantum Convolution Neural Networksby Muhammad Kashif, Muhammad ShafiqueFirst submitted to…
Improved Regret for Bandit Convex Optimization with Delayed Feedbackby Yuanyu Wan, Chang Yao, Mingli Song,…
Attacking Large Language Models with Projected Gradient Descentby Simon Geisler, Tom Wollschläger, M. H. I.…
MaxMin-RLHF: Alignment with Diverse Human Preferencesby Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong…
Second Order Methods for Bandit Optimization and Controlby Arun Suggala, Y. Jennifer Sun, Praneeth Netrapalli,…
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Inputby Ziang Chen, Rong GeFirst submitted to…