
A Unified Framework for Generic, QueryFocused, Privacy Preserving and Update Summarization using Submodular Information Measures
We study submodular information measures as a rich framework for generic...
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Submodular Combinatorial Information Measures with Applications in Machine Learning
Informationtheoretic quantities like entropy and mutual information hav...
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Concave Aspects of Submodular Functions
Submodular Functions are a special class of set functions, which general...
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Data Sketching for Faster Training of Machine Learning Models
Many machine learning problems reduce to the problem of minimizing an ex...
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On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks
Mixup zhang2017mixup is a recently proposed method for training deep neu...
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Combating Label Noise in Deep Learning Using Abstention
We introduce a novel method to combat label noise when training deep neu...
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A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems
We are motivated by large scale submodular optimization problems, where ...
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Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
In this paper, we investigate a class of submodular problems which in ge...
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Scaling Submodular Maximization via Pruned Submodularity Graphs
We propose a new random pruning method (called "submodular sparsificatio...
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Stream Clipper: Scalable Submodular Maximization on Stream
Applying submodular maximization in the streaming setting is nontrivial ...
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Submodular Hamming Metrics
We show that there is a largely unexplored class of functions (positive ...
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DivideandConquer Learning by Anchoring a Conical Hull
We reduce a broad class of machine learning problems, usually addressed ...
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Graph Cuts with Interacting Edge Costs  Examples, Approximations, and Algorithms
We study an extension of the classical graph cut problem, wherein we rep...
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Proceedings of the TwentyFifth Conference on Uncertainty in Artificial Intelligence (2009)
This is the Proceedings of the TwentyFifth Conference on Uncertainty in...
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Jeff Bilmes
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