155 citations · 1.6k across the 76 of their papers we have counts for
6 papers · 1 filter
Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
Shaohan Li, Yunpeng Shi, Gilad Lerman
We introduce Cycle-Sync, a robust and global framework for estimating camera poses (both rotations and locations). Our core innovation is a location solver that adapts message-pass…
Global Convergence of Iteratively Reweighted Least Squares for Robust Subspace Recovery
Gilad Lerman, Kang Li, Tyler Maunu +1
Robust subspace estimation is fundamental to many machine learning and data analysis tasks. Iteratively Reweighted Least Squares (IRLS) is an elegant and empirically effective appr…
Learning to Charge More: A Theoretical Study of Collusion by Q-Learning Agents
Cristian Chica, Yinglong Guo, Gilad Lerman
There is growing experimental evidence that -learning agents may learn to charge supracompetitive prices. We provide the first theoretical explanation for this behavior in infin…
Competition and Collusion in Two-Sided Markets with an Outside Option
Cristian Chica, Yinglong Guo, Gilad Lerman
We introduce pricing formulas for competition and collusion models of two-sided markets with an outside option. For the competition model, we find conditions under which prices and…
Stein Discrepancy for Unsupervised Domain Adaptation
Anneke von Seeger, Dongmian Zou, Gilad Lerman
Unsupervised domain adaptation (UDA) aims to improve model performance on an unlabeled target domain using a related, labeled source domain. A common approach aligns source and tar…
Geometry-Preserving Encoder/Decoder in Latent Generative Models
Wonjun Lee, Riley C. W. O'Neill, Dongmian Zou +2
Generative modeling aims to generate new data samples that resemble a given dataset. When using diffusion models for this task, one of the main challenges is solving the problem in…