54 citations · 151 across the 13 of their papers we have counts for
4 papers · 1 filter
Leveraging Pretrained Language Models as Energy Functions for Glauber Dynamics Text Diffusion
Tarun Kathuria, Sachin Kumar
We present a discrete diffusion-based language model using Glauber dynamics from statistical physics. Our main insight is that instead of trying to train a discrete state space dif…
Fair and Diverse DPP-based Data Summarization
L. Elisa Celis, Vijay Keswani, Damian Straszak +3
Sampling methods that choose a subset of the data proportional to its diversity in the feature space are popular for data summarization. However, recent studies have noted the occu…
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
Tarun Kathuria, Amit Deshpande, Pushmeet Kohli
Gaussian Process bandit optimization has emerged as a powerful tool for optimizing noisy black box functions. One example in machine learning is hyper-parameter optimization where…
How to be Fair and Diverse?
L. Elisa Celis, Amit Deshpande, Tarun Kathuria +1
Due to the recent cases of algorithmic bias in data-driven decision-making, machine learning methods are being put under the microscope in order to understand the root cause of the…