Jeff A. Bilmes

ORCID

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 77

Top Venues

Publications

Gantavya Bhatt, Arnav Das, Jeff A. Bilmes
Deep Submodular Peripteral Networks. CoRR (2024)
Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff 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. ACL (Findings) (2024)
Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR (2023)
Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. MobiCom (2023)
Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
High Resolution Point Clouds from mmWave Radar. ICRA (2023)
Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes
Accelerating Batch Active Learning Using Continual Learning Techniques. Trans. Mach. Learn. Res. 2023 (2023)
Arnav Das, Gantavya Bhatt, Megh Bhalerao, Vianne Gao, Rui Yang, Jeff A. Bilmes
Accelerating Batch Active Learning Using Continual Learning Techniques. CoRR (2023)
Jeff A. Bilmes
Submodularity In Machine Learning and Artificial Intelligence. CoRR (2022)
Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes
Diverse Client Selection for Federated Learning via Submodular Maximization. ICLR (2022)
Rishabh K. Iyer, Ninad Khargonkar, Jeff A. Bilmes, Himanshu Asnani
Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications. IEEE Trans. Inf. Theory 68 (2) (2022)
Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghaei, Jeff A. Bilmes, Swarun Kumar, Anthony G. Rowe
High Resolution Point Clouds from mmWave Radar. CoRR (2022)
Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
Retrospective Adversarial Replay for Continual Learning. NeurIPS (2022)
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. AAAI (2022)
Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR (2022)
Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. CoRR (2021)
Lilly Kumari, Jeff A. Bilmes
Submodular Span, with Applications to Conditional Data Summarization. AAAI (2021)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Robust Curriculum Learning: from clean label detection to noisy label self-correction. ICLR (2021)
Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
An Effective Baseline for Robustness to Distributional Shift. CoRR (2021)
Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
An Effective Baseline for Robustness to Distributional Shift. ICMLA (2021)
Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer
Independence Properties of Generalized Submodular Information Measures. CoRR (2021)
Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget. SDM (2021)
Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani
Submodular combinatorial information measures with applications in machine learning. ALT (2021)
Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer
Independence Properties of Generalized Submodular Information Measures. ISIT (2021)
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
Submodular Mutual Information for Targeted Data Subset Selection. CoRR (2021)
Yang Young Lu, Jeff A. Bilmes, Ricard A. Rodriguez-Mias, Judit Villén, William Stafford Noble
DIAmeter: matching peptides to data-independent acquisition mass spectrometry data. Bioinform. 37 (Supplement) (2021)
Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes
Constrained Robust Submodular Partitioning. NeurIPS (2021)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Curriculum Learning by Optimizing Learning Dynamics. AISTATS (2021)
Rishabh K. Iyer, Jeff A. Bilmes
Concave Aspects of Submodular Functions. CoRR (2020)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Curriculum Learning by Dynamic Instance Hardness. NeurIPS (2020)
Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec
Coresets for Data-efficient Training of Machine Learning Models. ICML (2020)
Rishabh K. Iyer, Jeff A. Bilmes
Concave Aspects of Submodular Functions. ISIT (2020)
Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR (2020)
Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani
Submodular Combinatorial Information Measures with Applications in Machine Learning. CoRR (2020)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Time-Consistent Self-Supervision for Semi-Supervised Learning. ICML (2020)
Rishabh K. Iyer, Jeff A. Bilmes
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. CoRR (2019)
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
Combating Label Noise in Deep Learning Using Abstention. CoRR (2019)
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. CoRR (2019)
Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
Combating Label Noise in Deep Learning using Abstention. ICML (2019)
Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec
Data Sketching for Faster Training of Machine Learning Models. CoRR (2019)
Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. AISTATS (2019)
Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. ICML (2019)
Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. NeurIPS (2019)
Chandrashekhar Lavania, Jeff A. Bilmes
Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. SDM (2019)
Rishabh K. Iyer, Jeff A. Bilmes
A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. CoRR (2019)
Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. ICML (2019)
Tianyi Zhou, Jeff A. Bilmes
Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity. ICLR (Poster) (2018)
Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes
Constrained Interacting Submodular Groupings. ICML (2018)
Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
Diverse Ensemble Evolution: Curriculum Data-Model Marriage. NeurIPS (2018)
Wenruo Bai, William Stafford Noble, Jeff A. Bilmes
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions. NeurIPS (2018)
Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes
SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization. Comput. Speech Lang. 42 (2017)
Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS (2017)
Shengjie Wang, Haoran Cai, Jeff A. Bilmes, William S. Noble
Training Compressed Fully-Connected Networks with a Density-Diversity Penalty. ICLR (Poster) (2017)
Chandrashekhar Lavania, Jeff A. Bilmes
Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies. ICASSP (2017)
Stefanie Jegelka, Jeff A. Bilmes
Graph cuts with interacting edge weights: examples, approximations, and algorithms. Math. Program. 162 (1-2) (2017)
Brian W. Dolhansky, Jeff A. Bilmes
Deep Submodular Functions: Definitions and Learning. NIPS (2016)
Thomas Powers, Jeff A. Bilmes, David W. Krout, Les E. Atlas
Constrained robust submodular sensor selection with applications to multistatic sonar arrays. FUSION (2016)
Karen Livescu, Frank Rudzicz, Eric Fosler-Lussier, Mark Hasegawa-Johnson, Jeff A. Bilmes
Speech Production in Speech Technologies: Introduction to the CSL Special Issue. Comput. Speech Lang. 36 (2016)
Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble
Faster and more accurate graphical model identification of tandem mass spectra using trellises. Bioinform. 32 (12) (2016)
Chandrashekhar Lavania, Sunil Thulasidasan, Anthony LaMarca, Jeffrey Scofield, Jeff A. Bilmes
A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance. UbiComp (2016)
Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR (2016)
Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML (2016)
Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin
Scaling Submodular Maximization via Pruned Submodularity Graphs. CoRR (2016)
Wenruo Bai, Rishabh K. Iyer, Kai Wei, Jeff A. Bilmes
Algorithms for Optimizing the Ratio of Submodular Functions. ICML (2016)
Tianyi Zhou, Jeff A. Bilmes
Stream Clipper: Scalable Submodular Maximization on Stream. CoRR (2016)
Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes
Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) (2015)
Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. AISTATS (2015)
Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation. CoRR (2015)
Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
Unsupervised learning of acoustic features via deep canonical correlation analysis. ICASSP (2015)
Rishabh K. Iyer, Jeff A. Bilmes
Polyhedral aspects of Submodularity, Convexity and Concavity. CoRR (2015)
Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes
SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech. INTERSPEECH (2015)
Rishabh K. Iyer, Jeff A. Bilmes
Submodular Point Processes with Applications to Machine learning. AISTATS (2015)
Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
On Deep Multi-View Representation Learning. ICML (2015)
Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications. NIPS (2015)
Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
Submodularity in Data Subset Selection and Active Learning. ICML (2015)
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
Submodular Hamming Metrics. NIPS (2015)
Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
Submodular Hamming Metrics. CoRR (2015)
Maxwell W. Libbrecht, Michael M. Hoffman, Jeff A. Bilmes, William Stafford Noble
Entropic Graph-based Posterior Regularization. ICML (2015)
Kai Wei, Yuzong Liu, Katrin Kirchhoff, Chris D. Bartels, Jeff A. Bilmes
Submodular subset selection for large-scale speech training data. ICASSP (2014)
Rishabh K. Iyer, Jeff A. Bilmes
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. CoRR (2014)
Katrin Kirchhoff, Jeff A. Bilmes
Submodularity for Data Selection in Machine Translation. EMNLP (2014)
Stefanie Jegelka, Jeff A. Bilmes
Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms. CoRR (2014)
Rishabh K. Iyer, Jeff A. Bilmes
Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. CoRR (2014)
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
Divide-and-Conquer Learning by Anchoring a Conical Hull. CoRR (2014)
Sebastian Tschiatschek, Rishabh K. Iyer, Haochen Wei, Jeff A. Bilmes
Learning Mixtures of Submodular Functions for Image Collection Summarization. NIPS (2014)
John T. Halloran, Jeff A. Bilmes, William Stafford Noble
Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry. UAI (2014)
Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, Jim Demmel
Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology. ICS 25th Anniversary (2014)
Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
Fast Multi-stage Submodular Maximization. ICML (2014)
Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
Divide-and-Conquer Learning by Anchoring a Conical Hull. NIPS (2014)
Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization. UAI (2014)
Kai Wei, Yuzong Liu, Katrin Kirchhoff, Jeff A. Bilmes
Unsupervised submodular subset selection for speech data. ICASSP (2014)
Yuzong Liu, Kai Wei, Katrin Kirchhoff, Yisong Song, Jeff A. Bilmes
Submodular feature selection for high-dimensional acoustic score spaces. ICASSP (2013)
Rishabh K. Iyer, Jeff A. Bilmes
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints. CoRR (2013)
Rishabh K. Iyer, Jeff A. Bilmes
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints. NIPS (2013)
Jeff A. Bilmes
Dynamic Bayesian Multinets CoRR (2013)
Rishabh K. Iyer, Jeff A. Bilmes
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. UAI (2013)
Rishabh K. Iyer, Jeff A. Bilmes
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. CoRR (2013)
Katrin Kirchhoff, Yuzong Liu, Jeff A. Bilmes
Classification of developmental disorders from speech signals using submodular feature selection. INTERSPEECH (2013)
Michael M. Hoffman, Orion J. Buske, Jie Wang, Zhiping Weng, Jeff A. Bilmes, William Stafford Noble
Unsupervised pattern discovery in human chromatin structure through genomic segmentation. BCB (2013)
Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu
Deep Canonical Correlation Analysis. ICML (3) (2013)
Kai Wei, Yuzong Liu, Katrin Kirchhoff, Jeff A. Bilmes
Using Document Summarization Techniques for Speech Data Subset Selection. HLT-NAACL (2013)

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Publication Activity (10 Years)

Top Topics

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Jeff A. Bilmes