38 citations · 247 across the 108 of their papers we have counts for
4 papers · 1 filter
Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration
Erica Zhang, Naomi Sagan, Danny Tse +3
Large language models (LLMs) encode rich semantic knowledge that can be useful for supervised learning, but their outputs are unreliable as statistical priors: they may be noisy, m…
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers
Alexandros E. Tzikas, Licio Romao, Mert Pilanci +2
Many machine learning applications require operating on a spatially distributed dataset. Despite technological advances, privacy considerations and communication constraints may pr…
Distributed Averaging Methods for Randomized Second Order Optimization
Burak Bartan, Mert Pilanci
We consider distributed optimization problems where forming the Hessian is computationally challenging and communication is a significant bottleneck. We develop unbiased parameter…
Randomized sketches for kernels: Fast and optimal non-parametric regression
Yun Yang, Mert Pilanci, Martin J. Wainwright
Kernel ridge regression (KRR) is a standard method for performing non-parametric regression over reproducing kernel Hilbert spaces. Given samples, the time and space complexity…