2024

• MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens papers
• DataComp-LM: In search of the next generation of training sets for language models papers

2023

• On the Diminishing Returns of Width for Continual Learning papers
• Conformal Prediction via Regression-as-Classification papers
• Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching papers
• Solving Robust MDPs through No-Regret Dynamics papers

2022

• One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits papers
• Conformalization of Sparse Generalized Linear Models papers
• On Accelerated Perceptrons and Beyond papers

2020

• A Variational Approach for Combinatorial Optimization Problems on Graphs papers

2019

• Predicting Situations with Loop Closures in Frontier Based Robotic Exploration paper

2017

• Predicting Situations with Loop Closures in Frontier Based Robotic Exploration papers
• Learned Cost Model for Placement on Reconfigurable Dataflow Hardware papers