33 citations · 56 across the 24 of their papers we have counts for
4 papers · 1 filter
Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment
Tianhao Wu, Banghua Zhu, Ruoyu Zhang +3
Large Language Models (LLMs) can acquire extensive world knowledge through pre-training on large corpora. However, due to exposure to low-quality data, LLMs may exhibit harmful beh…
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Nived Rajaraman, Devvrit, Aryan Mokhtari +1
Pruning schemes have been widely used in practice to reduce the complexity of trained models with a massive number of parameters. In fact, several practical studies have shown that…
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
Nived Rajaraman, Yanjun Han, Jiantao Jiao +1
We consider the sequential decision-making problem where the mean outcome is a non-linear function of the chosen action. Compared with the linear model, two curious phenomena arise…
Efficiently Computing Sparse Fourier Transforms of -ary Functions
Yigit Efe Erginbas, Justin Singh Kang, Amirali Aghazadeh +1
Fourier transformations of pseudo-Boolean functions are popular tools for analyzing functions of binary sequences. Real-world functions often have structures that manifest in a spa…