Jeffrey A. Bilmes

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 19

Top Topics

Gaussian Mixture

Greedy Algorithm

Data Summarization

Tensor Factorization

Top Venues

Publications

Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin G. Jamieson, Jordan T. Ash, Robert D. Nowak
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR (2024)
Andy Lin, Brooke L. Deatherage Kaiser, Janine R. Hutchison, Jeffrey A. Bilmes, William Stafford Noble
MS1Connect: a mass spectrometry run similarity measure. Bioinform. 39 (2) (2023)
Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble
Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data. Bioinform. 37 (4) (2021)
Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble
apricot: Submodular selection for data summarization in Python. J. Mach. Learn. Res. 21 (2020)
Jacob M. Schreiber, Timothy J. Durham, William S. Noble, Jeffrey A. Bilmes
Avocado: Deep tensor factorization characterizes the human epigenome via imputation of tens of thousands of functional experiments. BCB (2020)
Wei Yang, Jeffrey A. Bilmes, William Stafford Noble
Submodular sketches of single-cell RNA-seq measurements. BCB (2020)
Rishabh K. Iyer, Jeffrey A. Bilmes
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. AISTATS (2019)
Wenruo Bai, Jeffrey A. Bilmes, William S. Noble
Submodular Generalized Matching for Peptide Identification in Tandem Mass Spectrometry. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Rishabh K. Iyer, Jeffrey A. Bilmes
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. AISTATS (2019)
Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble
apricot: Submodular selection for data summarization in Python. CoRR (2019)
Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman
Segway 2.0: Gaussian mixture models and minibatch training. Bioinform. 34 (4) (2018)
Maxwell W. Libbrecht, Jeffrey A. Bilmes, William Stafford Noble
Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization. BCB (2018)
Wenruo Bai, Jeffrey A. Bilmes
Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions. ICML (2018)
Wenruo Bai, Jeffrey A. Bilmes
Greed is Still Good: Maximizing Monotone Submodular+Supermodular Functions. CoRR (2018)
Jeffrey A. Bilmes, Wenruo Bai
Deep Submodular Functions. CoRR (2017)
Sunil Thulasidasan, Jeffrey A. Bilmes
Acoustic classification using semi-supervised Deep Neural Networks and stochastic entropy-regularization over nearest-neighbor graphs. ICASSP (2017)
Wenruo Bai, Jeffrey A. Bilmes, William S. Noble
Bipartite matching generalizations for peptide identification in tandem mass spectrometry. BCB (2016)
Sunil Thulasidasan, Jeffrey A. Bilmes, Garrett T. Kenyon
Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs. CoRR (2016)
Sunil Thulasidasan, Jeffrey A. Bilmes
Semi-Supervised Phone Classification using Deep Neural Networks and Stochastic Graph-Based Entropic Regularization. CoRR (2016)
Nelson Morgan, James Beck, Phil Kohn, Jeffrey A. Bilmes, Eric Allman, Joachim Beer
The RAP: a ring array processor for layered network calculations. ASAP (1990)