Publications (19)
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
Rishabh Iyer, Jeff Bilmes
Divide-and-Conquer Learning by Anchoring a Conical Hull
Tianyi Zhou, Jeff Bilmes, Carlos Guestrin
Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms
Stefanie Jegelka, Jeff Bilmes
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
Rishabh Iyer, Jeff Bilmes
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh Iyer, Jeff Bilmes
Combating Label Noise in Deep Learning Using Abstention
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff Bilmes +2
The paper proposes a loss function that lets deep neural networks abstain from predicting on uncertain or noisy samples, improving robustness to both structured and unstructured la…
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
Jeff Bilmes, Andrew Ng
Scaling Submodular Maximization via Pruned Submodularity Graphs
Tianyi Zhou, Hua Ouyang, Yi Chang +2
Stream Clipper: Scalable Submodular Maximization on Stream
Tianyi Zhou, Jeff Bilmes
Fast Semidifferential-based Submodular Function Optimization
Rishabh Iyer, Stefanie Jegelka, Jeff Bilmes
Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions
Rishabh Iyer, Stefanie Jegelka, Jeff Bilmes
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications
Rishabh Iyer, Jeff Bilmes
Average-Case Active Learning with Costs
Andrew Guillory, Jeff Bilmes
On Deep Multi-View Representation Learning: Objectives and Optimization
Weiran Wang, Raman Arora, Karen Livescu +1
Submodular Hamming Metrics
Jennifer Gillenwater, Rishabh Iyer, Bethany Lusch +2
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation
Kai Wei, Rishabh Iyer, Shengjie Wang +2
Polyhedral aspects of Submodularity, Convexity and Concavity
Rishabh Iyer, Jeff Bilmes
Interactive Submodular Set Cover
Andrew Guillory, Jeff Bilmes
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
Rishabh Iyer, Jeff Bilmes