Jeffrey A. Bilmes

21 papers A* 1A 2Misc 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.
CoRR
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024 J jnl
Reweighting Local Mimina with Tilted SAM.
CoRR
Tian Li, Tianyi Zhou, Jeffrey A. Bilmes
2023 J jnl
MS1Connect: a mass spectrometry run similarity measure.
Bioinform.
Andy Lin, Brooke L. Deatherage Kaiser, Janine R. Hutchison, Jeffrey A. Bilmes, William Stafford Noble
2021 J jnl
Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data.
Bioinform.
Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble
2020 — conf
Avocado: Deep tensor factorization characterizes the human epigenome via imputation of tens of thousands of functional experiments.
BCB
Jacob M. Schreiber, Timothy J. Durham, William S. Noble, Jeffrey A. Bilmes
2020 — conf
Submodular sketches of single-cell RNA-seq measurements.
BCB
Wei Yang, Jeffrey A. Bilmes, William Stafford Noble
2020 J jnl
apricot: Submodular selection for data summarization in Python.
J. Mach. Learn. Res.
Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble
2019 A conf
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems.
AISTATS
Rishabh K. Iyer, Jeffrey A. Bilmes
2019 A conf
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs.
AISTATS
Rishabh K. Iyer, Jeffrey A. Bilmes
2019 J jnl
Submodular Generalized Matching for Peptide Identification in Tandem Mass Spectrometry.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wenruo Bai, Jeffrey A. Bilmes, William S. Noble
2019 J jnl
apricot: Submodular selection for data summarization in Python.
CoRR
Jacob M. Schreiber, Jeffrey A. Bilmes, William Stafford Noble
2018 — conf
Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization.
BCB
Maxwell W. Libbrecht, Jeffrey A. Bilmes, William Stafford Noble
2018 A* conf
Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions.
ICML
Wenruo Bai, Jeffrey A. Bilmes
2018 J jnl
Greed is Still Good: Maximizing Monotone Submodular+Supermodular Functions.
CoRR
Wenruo Bai, Jeffrey A. Bilmes
2018 J jnl
Segway 2.0: Gaussian mixture models and minibatch training.
Bioinform.
Rachel C. W. Chan, Maxwell W. Libbrecht, Eric G. Roberts, Jeffrey A. Bilmes, William Stafford Noble, Michael M. Hoffman
2017 Misc conf
Acoustic classification using semi-supervised Deep Neural Networks and stochastic entropy-regularization over nearest-neighbor graphs.
ICASSP
Sunil Thulasidasan, Jeffrey A. Bilmes
2017 J jnl
Deep Submodular Functions.
CoRR
Jeffrey A. Bilmes, Wenruo Bai
2016 — conf
Bipartite matching generalizations for peptide identification in tandem mass spectrometry.
BCB
Wenruo Bai, Jeffrey A. Bilmes, William S. Noble
2016 J jnl
Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs.
CoRR
Sunil Thulasidasan, Jeffrey A. Bilmes, Garrett T. Kenyon
2016 J jnl
Semi-Supervised Phone Classification using Deep Neural Networks and Stochastic Graph-Based Entropic Regularization.
CoRR
Sunil Thulasidasan, Jeffrey A. Bilmes
1990 — conf
The RAP: a ring array processor for layered network calculations.
ASAP
Nelson Morgan, James Beck, Phil Kohn, Jeffrey A. Bilmes, Eric Allman, Joachim Beer