Jeff A. Bilmes

303 papers A* 48A 60B 7C 8Misc 30Journal 89Unranked 60

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation. CVPR Arnav M. Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes
2025	J	`jnl`	Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective. Trans. Mach. Learn. Res. Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Pin-Yu Chen, Jeff A. Bilmes
2025	J	`jnl`	How Many Images Does It Take? Estimating Imitation Thresholds in Text-to-Image Models. Trans. Mach. Learn. Res. Sahil Verma, Royi Rassin, Arnav Mohanty Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar
2025	A*	`conf`	MULTIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities. EMNLP Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh
2025	A*	`conf`	Many-Objective Multi-Solution Transport. ICLR Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou
2025	J	`jnl`	OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities. CoRR Sahil Verma, Keegan Hines, Jeff A. Bilmes, Charlotte Siska, Luke Zettlemoyer, Hila Gonen, Chandan Singh
2025	A*	`conf`	Tilted Sharpness-Aware Minimization. ICML Tian Li, Tianyi Zhou, Jeff A. Bilmes
2024	—	`conf`	An End-to-End Submodular Framework for Data-Efficient In-Context Learning. NAACL-HLT (Findings) Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes
2024	—	`conf`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	J	`jnl`	COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Learning. CoRR Arnav Mohanty Das, Gantavya Bhatt, Lilly Kumari, Sahil Verma, Jeff A. Bilmes
2024	A*	`conf`	Deep Submodular Peripteral Networks. NeurIPS Gantavya Bhatt, Arnav Das, Jeff A. Bilmes
2024	J	`jnl`	Deep Submodular Peripteral Networks. CoRR Gantavya Bhatt, Arnav Das, Jeff A. Bilmes
2024	A	`conf`	Efficient Interactive Maximization of BP and Weakly Submodular Objectives. UAI Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
2024	J	`jnl`	How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold. CoRR Sahil Verma, Royi Rassin, Arnav Das, Gantavya Bhatt, Preethi Seshadri, Chirag Shah, Jeff A. Bilmes, Hannaneh Hajishirzi, Yanai Elazar
2024	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning. J. Data-centric Mach. Learn. Res. Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2024	J	`jnl`	Many-Objective Multi-Solution Transport. CoRR Ziyue Li, Tian Li, Virginia Smith, Jeff A. Bilmes, Tianyi Zhou
2023	J	`jnl`	Accelerating Batch Active Learning Using Continual Learning Techniques. CoRR Arnav Mohanty Das, Gantavya Bhatt, Megh Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes
2023	J	`jnl`	Accelerating Batch Active Learning Using Continual Learning Techniques. Trans. Mach. Learn. Res. Arnav Mohanty Das, Gantavya Bhatt, Megh Manoj Bhalerao, Vianne R. Gao, Rui Yang, Jeff A. Bilmes
2023	J	`jnl`	Effective Backdoor Mitigation Depends on the Pre-training Objective. CoRR Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P. Dickerson, Jeff A. Bilmes
2023	A*	`conf`	High Resolution Point Clouds from mmWave Radar. ICRA Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
2023	A*	`conf`	RadarHD: Demonstrating Lidar-like Point Clouds from mmWave Radar. MobiCom Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghai, Jeff A. Bilmes, Swarun Kumar, Anthony Rowe
2022	A*	`conf`	Diverse Client Selection for Federated Learning via Submodular Maximization. ICLR Ravikumar Balakrishnan, Tian Li, Tianyi Zhou, Nageen Himayat, Virginia Smith, Jeff A. Bilmes
2022	J	`jnl`	Generalized Submodular Information Measures: Theoretical Properties, Examples, Optimization Algorithms, and Applications. IEEE Trans. Inf. Theory Rishabh K. Iyer, Ninad Khargonkar, Jeff A. Bilmes, Himanshu Asnani
2022	J	`jnl`	High Resolution Point Clouds from mmWave Radar. CoRR Akarsh Prabhakara, Tao Jin, Arnav Das, Gantavya Bhatt, Lilly Kumari, Elahe Soltanaghaei, Jeff A. Bilmes, Swarun Kumar, Anthony G. Rowe
2022	J	`jnl`	Interactive Combinatorial Bandits: Balancing Competitivity and Complementarity. CoRR Adhyyan Narang, Omid Sadeghi, Lillian J. Ratliff, Maryam Fazel, Jeff A. Bilmes
2022	J	`jnl`	Linking cells across single-cell modalities by synergistic matching of neighborhood structure. Bioinform. Borislav H. Hristov, Jeff A. Bilmes, William Stafford Noble
2022	A*	`conf`	PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection. AAAI Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2022	A*	`conf`	Retrospective Adversarial Replay for Continual Learning. NeurIPS Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2022	J	`jnl`	Submodularity In Machine Learning and Artificial Intelligence. CoRR Jeff A. Bilmes
2021	A	`conf`	A Practical Online Framework for Extracting Running Video Summaries under a Fixed Memory Budget. SDM Chandrashekhar Lavania, Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
2021	C	`conf`	An Effective Baseline for Robustness to Distributional Shift. ICMLA Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
2021	J	`jnl`	An Effective Baseline for Robustness to Distributional Shift. CoRR Sunil Thulasidasan, Sushil Thapa, Sayera Dhaubhadel, Gopinath Chennupati, Tanmoy Bhattacharya, Jeff A. Bilmes
2021	A*	`conf`	Constrained Robust Submodular Partitioning. NeurIPS Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes
2021	A	`conf`	Curriculum Learning by Optimizing Learning Dynamics. AISTATS Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2021	J	`jnl`	DIAmeter: matching peptides to data-independent acquisition mass spectrometry data. Bioinform. Yang Young Lu, Jeff A. Bilmes, Ricard A. Rodriguez-Mias, Judit Villén, William Stafford Noble
2021	B	`conf`	Independence Properties of Generalized Submodular Information Measures. ISIT Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer
2021	J	`jnl`	Independence Properties of Generalized Submodular Information Measures. CoRR Himanshu Asnani, Jeff A. Bilmes, Rishabh K. Iyer
2021	J	`jnl`	PRISM: A Unified Framework of Parameterized Submodular Information Measures for Targeted Data Subset Selection and Summarization. CoRR Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2021	A*	`conf`	Robust Curriculum Learning: from clean label detection to noisy label self-correction. ICLR Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2021	J	`jnl`	Submodular Mutual Information for Targeted Data Subset Selection. CoRR Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan, Jeff A. Bilmes, Rishabh K. Iyer
2021	A*	`conf`	Submodular Span, with Applications to Conditional Data Summarization. AAAI Lilly Kumari, Jeff A. Bilmes
2021	B	`conf`	Submodular combinatorial information measures with applications in machine learning. ALT Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani
2020	J	`jnl`	A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures. CoRR Vishal Kaushal, Suraj Kothawade, Ganesh Ramakrishnan, Jeff A. Bilmes, Himanshu Asnani, Rishabh K. Iyer
2020	B	`conf`	Concave Aspects of Submodular Functions. ISIT Rishabh K. Iyer, Jeff A. Bilmes
2020	J	`jnl`	Concave Aspects of Submodular Functions. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2020	A*	`conf`	Coresets for Data-efficient Training of Machine Learning Models. ICML Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec
2020	A*	`conf`	Curriculum Learning by Dynamic Instance Hardness. NeurIPS Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2020	J	`jnl`	Submodular Combinatorial Information Measures with Applications in Machine Learning. CoRR Rishabh K. Iyer, Ninad Khargoankar, Jeff A. Bilmes, Himanshu Asanani
2020	A*	`conf`	Time-Consistent Self-Supervision for Semi-Supervised Learning. ICML Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2019	J	`jnl`	A Memoization Framework for Scaling Submodular Optimization to Large Scale Problems. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2019	A	`conf`	Auto-Summarization: A Step Towards Unsupervised Learning of a Submodular Mixture. SDM Chandrashekhar Lavania, Jeff A. Bilmes
2019	A*	`conf`	Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. ICML Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2019	J	`jnl`	Combating Label Noise in Deep Learning Using Abstention. CoRR Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
2019	A*	`conf`	Combating Label Noise in Deep Learning using Abstention. ICML Sunil Thulasidasan, Tanmoy Bhattacharya, Jeff A. Bilmes, Gopinath Chennupati, Jamal Mohd-Yusof
2019	J	`jnl`	Data Sketching for Faster Training of Machine Learning Models. CoRR Baharan Mirzasoleiman, Jeff A. Bilmes, Jure Leskovec
2019	A	`conf`	Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. AISTATS Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes
2019	A*	`conf`	Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. ICML Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2019	J	`jnl`	Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2019	A*	`conf`	On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. NeurIPS Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
2019	J	`jnl`	On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks. CoRR Sunil Thulasidasan, Gopinath Chennupati, Jeff A. Bilmes, Tanmoy Bhattacharya, Sarah Michalak
2018	A*	`conf`	Constrained Interacting Submodular Groupings. ICML Andrew Cotter, Mahdi Milani Fard, Seungil You, Maya R. Gupta, Jeff A. Bilmes
2018	A*	`conf`	Diverse Ensemble Evolution: Curriculum Data-Model Marriage. NeurIPS Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2018	—	`conf`	Minimax Curriculum Learning: Machine Teaching with Desirable Difficulties and Scheduled Diversity. ICLR (Poster) Tianyi Zhou, Jeff A. Bilmes
2018	A*	`conf`	Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions. NeurIPS Wenruo Bai, William Stafford Noble, Jeff A. Bilmes
2017	J	`jnl`	Graph cuts with interacting edge weights: examples, approximations, and algorithms. Math. Program. Stefanie Jegelka, Jeff A. Bilmes
2017	Misc	`conf`	Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies. ICASSP Chandrashekhar Lavania, Jeff A. Bilmes
2017	J	`jnl`	SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization. Comput. Speech Lang. Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes
2017	A	`conf`	Scaling Submodular Maximization via Pruned Submodularity Graphs. AISTATS Tianyi Zhou, Hua Ouyang, Jeff A. Bilmes, Yi Chang, Carlos Guestrin
2017	—	`conf`	Training Compressed Fully-Connected Networks with a Density-Diversity Penalty. ICLR (Poster) Shengjie Wang, Haoran Cai, Jeff A. Bilmes, William S. Noble
2016	Misc	`conf`	A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance. UbiComp Chandrashekhar Lavania, Sunil Thulasidasan, Anthony LaMarca, Jeffrey Scofield, Jeff A. Bilmes
2016	A*	`conf`	Algorithms for Optimizing the Ratio of Submodular Functions. ICML Wenruo Bai, Rishabh K. Iyer, Kai Wei, Jeff A. Bilmes
2016	A*	`conf`	Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
2016	C	`conf`	Constrained robust submodular sensor selection with applications to multistatic sonar arrays. FUSION Thomas Powers, Jeff A. Bilmes, David W. Krout, Les E. Atlas
2016	—	`conf`	Deep Submodular Functions: Definitions and Learning. NIPS Brian W. Dolhansky, Jeff A. Bilmes
2016	J	`jnl`	Faster and more accurate graphical model identification of tandem mass spectra using trellises. Bioinform. Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble
2016	J	`jnl`	On Deep Multi-View Representation Learning: Objectives and Optimization. CoRR Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2016	J	`jnl`	Scaling Submodular Maximization via Pruned Submodularity Graphs. CoRR Tianyi Zhou, Hua Ouyang, Yi Chang, Jeff A. Bilmes, Carlos Guestrin
2016	J	`jnl`	Speech Production in Speech Technologies: Introduction to the CSL Special Issue. Comput. Speech Lang. Karen Livescu, Frank Rudzicz, Eric Fosler-Lussier, Mark Hasegawa-Johnson, Jeff A. Bilmes
2016	J	`jnl`	Stream Clipper: Scalable Submodular Maximization on Stream. CoRR Tianyi Zhou, Jeff A. Bilmes
2015	A*	`conf`	Entropic Graph-based Posterior Regularization. ICML Maxwell W. Libbrecht, Michael M. Hoffman, Jeff A. Bilmes, William Stafford Noble
2015	J	`jnl`	Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation. CoRR Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
2015	—	`conf`	Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications. NIPS Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
2015	A	`conf`	On Approximate Non-submodular Minimization via Tree-Structured Supermodularity. AISTATS Yoshinobu Kawahara, Rishabh K. Iyer, Jeff A. Bilmes
2015	A*	`conf`	On Deep Multi-View Representation Learning. ICML Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2015	J	`jnl`	Polyhedral aspects of Submodularity, Convexity and Concavity. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2015	A	`conf`	SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech. INTERSPEECH Yuzong Liu, Rishabh K. Iyer, Katrin Kirchhoff, Jeff A. Bilmes
2015	—	`conf`	Submodular Hamming Metrics. NIPS Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2015	J	`jnl`	Submodular Hamming Metrics. CoRR Jennifer Gillenwater, Rishabh K. Iyer, Bethany Lusch, Rahul Kidambi, Jeff A. Bilmes
2015	A	`conf`	Submodular Point Processes with Applications to Machine learning. AISTATS Rishabh K. Iyer, Jeff A. Bilmes
2015	A*	`conf`	Submodularity in Data Subset Selection and Active Learning. ICML Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
2015	—	`conf`	Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures. ACL (1) Ramakrishna Bairi, Rishabh K. Iyer, Ganesh Ramakrishnan, Jeff A. Bilmes
2015	Misc	`conf`	Unsupervised learning of acoustic features via deep canonical correlation analysis. ICASSP Weiran Wang, Raman Arora, Karen Livescu, Jeff A. Bilmes
2014	J	`jnl`	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2014	—	`conf`	Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology. ICS 25th Anniversary Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, Jim Demmel
2014	—	`conf`	Divide-and-Conquer Learning by Anchoring a Conical Hull. NIPS Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
2014	J	`jnl`	Divide-and-Conquer Learning by Anchoring a Conical Hull. CoRR Tianyi Zhou, Jeff A. Bilmes, Carlos Guestrin
2014	A*	`conf`	Fast Multi-stage Submodular Maximization. ICML Kai Wei, Rishabh K. Iyer, Jeff A. Bilmes
2014	J	`jnl`	Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms. CoRR Stefanie Jegelka, Jeff A. Bilmes
2014	—	`conf`	Learning Mixtures of Submodular Functions for Image Collection Summarization. NIPS Sebastian Tschiatschek, Rishabh K. Iyer, Haochen Wei, Jeff A. Bilmes
2014	A	`conf`	Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry. UAI John T. Halloran, Jeff A. Bilmes, William Stafford Noble
2014	A	`conf`	Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization. UAI Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2014	Misc	`conf`	Submodular subset selection for large-scale speech training data. ICASSP Kai Wei, Yuzong Liu, Katrin Kirchhoff, Chris D. Bartels, Jeff A. Bilmes
2014	A*	`conf`	Submodularity for Data Selection in Machine Translation. EMNLP Katrin Kirchhoff, Jeff A. Bilmes
2014	J	`jnl`	The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2014	Misc	`conf`	Unsupervised submodular subset selection for speech data. ICASSP Kai Wei, Yuzong Liu, Katrin Kirchhoff, Jeff A. Bilmes
2013	A	`conf`	Classification of developmental disorders from speech signals using submodular feature selection. INTERSPEECH Katrin Kirchhoff, Yuzong Liu, Jeff A. Bilmes
2013	—	`conf`	Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions. NIPS Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	J	`jnl`	Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions. CoRR Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	—	`conf`	Deep Canonical Correlation Analysis. ICML (3) Galen Andrew, Raman Arora, Jeff A. Bilmes, Karen Livescu
2013	J	`jnl`	Dynamic Bayesian Multinets CoRR Jeff A. Bilmes
2013	—	`conf`	Fast Semidifferential-based Submodular Function Optimization. ICML (3) Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	J	`jnl`	Fast Semidifferential-based Submodular Function Optimization. CoRR Rishabh K. Iyer, Stefanie Jegelka, Jeff A. Bilmes
2013	—	`conf`	Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints. NIPS Rishabh K. Iyer, Jeff A. Bilmes
2013	J	`jnl`	Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2013	Misc	`conf`	Submodular feature selection for high-dimensional acoustic score spaces. ICASSP Yuzong Liu, Kai Wei, Katrin Kirchhoff, Yisong Song, Jeff A. Bilmes
2013	A	`conf`	The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. UAI Rishabh K. Iyer, Jeff A. Bilmes
2013	J	`jnl`	The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking. CoRR Rishabh K. Iyer, Jeff A. Bilmes
2013	—	`conf`	Unsupervised pattern discovery in human chromatin structure through genomic segmentation. BCB Michael M. Hoffman, Orion J. Buske, Jie Wang, Zhiping Weng, Jeff A. Bilmes, William Stafford Noble
2013	—	`conf`	Using Document Summarization Techniques for Speech Data Subset Selection. HLT-NAACL Kai Wei, Yuzong Liu, Katrin Kirchhoff, Jeff A. Bilmes
2012	J	`jnl`	A submodular-supermodular procedure with applications to discriminative structure learning CoRR Mukund Narasimhan, Jeff A. Bilmes
2012	Misc	`conf`	Acoustic model transformations based on random projections. ICASSP Tetsuya Takiguchi, Mariko Yoshii, Yasuo Ariki, Jeff A. Bilmes
2012	J	`jnl`	Active Semi-Supervised Learning using Submodular Functions CoRR Andrew Guillory, Jeff A. Bilmes
2012	J	`jnl`	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications CoRR Rishabh K. Iyer, Jeff A. Bilmes
2012	A	`conf`	Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications. UAI Rishabh K. Iyer, Jeff A. Bilmes
2012	J	`jnl`	Consensus ranking under the exponential model CoRR Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes
2012	J	`jnl`	Learning Mixtures of Submodular Shells with Application to Document Summarization CoRR Hui Lin, Jeff A. Bilmes
2012	A	`conf`	Learning Mixtures of Submodular Shells with Application to Document Summarization. UAI Hui Lin, Jeff A. Bilmes
2012	A	`conf`	Memory-efficient inference in dynamic graphical models using multiple cores. AISTATS Galen Andrew, Jeff A. Bilmes
2012	J	`jnl`	Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. CoRR Chris D. Bartels, Jeff A. Bilmes
2012	A	`conf`	On Bisubmodular Maximization. AISTATS Ajit P. Singh, Andrew Guillory, Jeff A. Bilmes
2012	J	`jnl`	On Triangulating Dynamic Graphical Models CoRR Jeff A. Bilmes, Chris D. Bartels
2012	J	`jnl`	PAC-learning bounded tree-width Graphical Models CoRR Mukund Narasimhan, Jeff A. Bilmes
2012	J	`jnl`	Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009) CoRR Jeff A. Bilmes, Andrew Y. Ng
2012	J	`jnl`	Recognizing Activities and Spatial Context Using Wearable Sensors. CoRR Amarnag Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox
2012	Misc	`conf`	Sequential Deep Belief Networks. ICASSP Galen Andrew, Jeff A. Bilmes
2012	J	`jnl`	Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra CoRR Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble
2012	A	`conf`	Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra. UAI Ajit P. Singh, John T. Halloran, Jeff A. Bilmes, Katrin Kirchhoff, William Stafford Noble
2012	—	`conf`	Submodular-Bregman and the Lovász-Bregman Divergences with Applications. NIPS Rishabh K. Iyer, Jeff A. Bilmes
2012	J	`jnl`	The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments. Comput. Speech Lang. Alex Stupakov, Evan Hanusa, Deepak Vijaywargi, Dieter Fox, Jeff A. Bilmes
2011	A*	`conf`	A Class of Submodular Functions for Document Summarization. ACL Hui Lin, Jeff A. Bilmes
2011	A	`conf`	Active Semi-Supervised Learning using Submodular Functions. UAI Andrew Guillory, Jeff A. Bilmes
2011	—	`conf`	Applications of submodular functions in speech and NLP. MLSLP Jeff A. Bilmes, Hui Lin, Andrew Guillory
2011	A*	`conf`	Approximation Bounds for Inference using Cooperative Cuts. ICML Stefanie Jegelka, Jeff A. Bilmes
2011	J	`jnl`	Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models. Mach. Learn. Chris D. Bartels, Jeff A. Bilmes
2011	J	`jnl`	Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM Trans. Intell. Syst. Technol. Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes, James A. Kitts
2011	J	`jnl`	Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure. BMC Bioinform. Zafer Aydin, Ajit P. Singh, Jeff A. Bilmes, William Stafford Noble
2011	—	`conf`	On fast approximate submodular minimization. NIPS Stefanie Jegelka, Hui Lin, Jeff A. Bilmes
2011	A*	`conf`	Online Submodular Minimization for Combinatorial Structures. ICML Stefanie Jegelka, Jeff A. Bilmes
2011	—	`conf`	Online Submodular Set Cover, Ranking, and Repeated Active Learning. NIPS Andrew Guillory, Jeff A. Bilmes
2011	A	`conf`	Optimal Selection of Limited Vocabulary Speech Corpora. INTERSPEECH Hui Lin, Jeff A. Bilmes
2011	J	`jnl`	Semi-Supervised Learning with Measure Propagation. J. Mach. Learn. Res. Amarnag Subramanya, Jeff A. Bilmes
2011	A*	`conf`	Simultaneous Learning and Covering with Adversarial Noise. ICML Andrew Guillory, Jeff A. Bilmes
2011	A*	`conf`	Submodularity beyond submodular energies: Coupling edges in graph cuts. CVPR Stefanie Jegelka, Jeff A. Bilmes
2011	J	`jnl`	The Vocal Joystick Engine v1.0. Comput. Speech Lang. Jonathan Malkin, Xiao Li, Susumu Harada, James A. Landay, Jeff A. Bilmes
2011	—	`conf`	Word Alignment via Submodular Maximization over Matroids. ACL (2) Hui Lin, Jeff A. Bilmes
2010	J	`jnl`	A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data. Bioinform. Xiaoyu Chen, Michael M. Hoffman, Jeff A. Bilmes, Jay R. Hesselberth, William Stafford Noble
2010	A*	`conf`	Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models. AAAI Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes
2010	J	`jnl`	Dynamic Graphical Models. IEEE Signal Process. Mag. Jeff A. Bilmes
2010	J	`jnl`	Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers. J. Mach. Learn. Res. Franz Pernkopf, Jeff A. Bilmes
2010	Misc	`conf`	Evaluation of random-projection-based feature combination on speech recognition. ICASSP Tetsuya Takiguchi, Jeff A. Bilmes, Mariko Yoshii, Yasuo Ariki
2010	J	`jnl`	Graphical models for integrating syllabic information. Comput. Speech Lang. Chris D. Bartels, Jeff A. Bilmes
2010	J	`jnl`	Interactive Submodular Set Cover CoRR Andrew Guillory, Jeff A. Bilmes
2010	A*	`conf`	Interactive Submodular Set Cover. ICML Andrew Guillory, Jeff A. Bilmes
2010	Misc	`conf`	Jointly recognizing multi-speaker conversations. ICASSP Gang Ji, Jeff A. Bilmes
2010	J	`jnl`	Learning a Weighted Sequence Model of the Nucleosome Core and Linker Yields More Accurate Predictions in PLoS Comput. Biol. Sheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble
2010	—	`conf`	Multi-document Summarization via Budgeted Maximization of Submodular Functions. HLT-NAACL Hui Lin, Jeff A. Bilmes
2010	A	`conf`	Online adaptive learning for speech recognition decoding. INTERSPEECH Jeff A. Bilmes, Hui Lin
2010	J	`jnl`	Panlingual lexical translation via probabilistic inference. Artif. Intell. Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Kobi Reiter, Michael Skinner, Marcus Sammer, Jeff A. Bilmes
2010	B	`conf`	Predicting Nucleosome Positioning Using Multiple Evidence Tracks. RECOMB Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, William Stafford Noble
2010	A	`conf`	Semi-supervised learning for improved expression of uncertainty in discriminative classifiers. INTERSPEECH Jonathan Malkin, Jeff A. Bilmes
2009	A	`conf`	Active Learning as Non-Convex Optimization. AISTATS Andrew Guillory, Erick Chastain, Jeff A. Bilmes
2009	J	`jnl`	Average-Case Active Learning with Costs CoRR Andrew Guillory, Jeff A. Bilmes
2009	B	`conf`	Average-Case Active Learning with Costs. ALT Andrew Guillory, Jeff A. Bilmes
2009	J	`jnl`	Broad phonetic classification using discriminative Bayesian networks. Speech Commun. Franz Pernkopf, Tuan Van Pham, Jeff A. Bilmes
2009	Misc	`conf`	COSINE - A corpus of multi-party COnversational Speech In Noisy Environments. ICASSP Alex Stupakov, Evan Hanusa, Jeff A. Bilmes, Dieter Fox
2009	—	`conf`	Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. ACL/IJCNLP Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, Jeff A. Bilmes
2009	—	`conf`	Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification. NIPS Amarnag Subramanya, Jeff A. Bilmes
2009	C	`conf`	Graph-based submodular selection for extractive summarization. ASRU Hui Lin, Jeff A. Bilmes, Shasha Xie
2009	A	`conf`	How to loose confidence: probabilistic linear machines for multiclass classification. INTERSPEECH Hui Lin, Jeff A. Bilmes, Koby Crammer
2009	A	`conf`	How to select a good training-data subset for transcription: submodular active selection for sequences. INTERSPEECH Hui Lin, Jeff A. Bilmes
2009	Misc	`conf`	Improving multi-lattice alignment based spoken keyword spotting. ICASSP Hui Lin, Alex Stupakov, Jeff A. Bilmes
2009	—	`conf`	Label Selection on Graphs. NIPS Andrew Guillory, Jeff A. Bilmes
2009	A*	`conf`	Longitudinal study of people learning to use continuous voice-based cursor control. CHI Susumu Harada, Jacob O. Wobbrock, Jonathan Malkin, Jeff A. Bilmes, James A. Landay
2009	Misc	`conf`	Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach. ICASSP Ning Ma, Chris D. Bartels, Jeff A. Bilmes, Phil D. Green
2009	Misc	`conf`	Multi-layer ratio Semi-Definite Classifiers. ICASSP Jonathan Malkin, Jeff A. Bilmes
2009	B	`conf`	On the Relationship between DNA Periodicity and Local Chromatin Structure. RECOMB Sheila M. Reynolds, Jeff A. Bilmes, William Stafford Noble
2009	A	`conf`	On the semi-supervised learning of multi-layered perceptrons. INTERSPEECH Jonathan Malkin, Amarnag Subramanya, Jeff A. Bilmes
2009	—	`conf`	Submodularity Cuts and Applications. NIPS Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes
2009	A*	`conf`	The VoiceBot: a voice controlled robot arm. CHI Brandi House, Jonathan Malkin, Jeff A. Bilmes
2009	A	`conf`	The semi-supervised switchboard transcription project. INTERSPEECH Amarnag Subramanya, Jeff A. Bilmes
2009	A	`ed.`	UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, Montreal, QC, Canada, June 18-21, 2009 UAI Jeff A. Bilmes, Andrew Y. Ng
2008	A	`conf`	Applications of virtual-evidence based speech recognizer training. INTERSPEECH Amarnag Subramanya, Jeff A. Bilmes
2008	A*	`conf`	Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data. AAAI Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes
2008	A	`conf`	Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. ISMB Aaron A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss, William Stafford Noble
2008	Misc	`conf`	Order-based Discriminative Structure Learning for Bayesian Network Classifiers. ISAIM Franz Pernkopf, Jeff A. Bilmes
2008	Misc	`conf`	Polyphase speech recognition. ICASSP Hui Lin, Jeff A. Bilmes
2008	Misc	`conf`	Practical Methods for Exploiting Bounds on Change in the Margin. ISAIM Andrew Guillory, Jeff A. Bilmes
2008	Misc	`conf`	Ratio semi-definite classifiers. ICASSP Jonathan Malkin, Jeff A. Bilmes
2008	A*	`conf`	Soft-Supervised Learning for Text Classification. EMNLP Amarnag Subramanya, Jeff A. Bilmes
2008	A	`conf`	Spoken keyword spotting via multi-lattice alignment. INTERSPEECH Hui Lin, Alex Stupakov, Jeff A. Bilmes
2008	A*	`conf`	Structure Learning on Large Scale Common Sense Statistical Models of Human State. AAAI William Pentney, Matthai Philipose, Jeff A. Bilmes
2008	Misc	`conf`	Towards the automated social analysis of situated speech data. UbiComp Danny Wyatt, Jeff A. Bilmes, Tanzeem Choudhury, James A. Kitts
2008	J	`jnl`	Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks. PLoS Comput. Biol. Sheila M. Reynolds, Lukas Käll, Michael Riffle, Jeff A. Bilmes, William Stafford Noble
2008	A	`conf`	Using syllable nuclei locations to improve automatic speech recognition in the presence of burst noise. INTERSPEECH Chris D. Bartels, Jeff A. Bilmes
2007	A	`conf`	A Bayesian Divergence Prior for Classiffier Adaptation. AISTATS Xiao Li, Jeff A. Bilmes
2007	A*	`conf`	A Privacy-Sensitive Approach to Modeling Multi-Person Conversations. IJCAI Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes, Henry A. Kautz
2007	A	`conf`	Attention shift decoding for conversational speech recognition. INTERSPEECH Raghunandan Kumaran, Jeff A. Bilmes, Katrin Kirchhoff
2007	A	`conf`	Consensus ranking under the exponential model. UAI Marina Meila, Kapil Phadnis, Arthur Patterson, Jeff A. Bilmes
2007	A	`conf`	Conversation detection and speaker segmentation in privacy-sensitive situated speech data. INTERSPEECH Danny Wyatt, Tanzeem Choudhury, Jeff A. Bilmes
2007	A	`conf`	Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick. ASSETS Brandi House, Jonathan Malkin, Jeff A. Bilmes
2007	B	`conf`	Disambiguating speech commands using physical context. ICMI Katherine Everitt, Susumu Harada, Jeff A. Bilmes, James A. Landay
2007	—	`conf`	Generalized Graphical Abstractions for Statistical Machine Translation. HLT-NAACL (Short Papers) Karim Filali, Jeff A. Bilmes
2007	A*	`conf`	Learning Large Scale Common Sense Models of Everyday Life. AAAI William Pentney, Matthai Philipose, Jeff A. Bilmes, Henry A. Kautz
2007	A*	`conf`	Local Search for Balanced Submodular Clusterings. IJCAI Mukund Narasimhan, Jeff A. Bilmes
2007	J	`jnl`	MVA Processing of Speech Features. IEEE Trans. Speech Audio Process. Chia-Ping Chen, Jeff A. Bilmes
2007	C	`conf`	OOV detection by joint word/phone lattice alignment. ASRU Hui Lin, Jeff A. Bilmes, Dimitra Vergyri, Katrin Kirchhoff
2007	C	`conf`	Submodularity and adaptation. ASRU Jeff A. Bilmes
2007	C	`conf`	Uncertainty in training large vocabulary speech recognizers. ASRU Amarnag Subramanya, Chris D. Bartels, Jeff A. Bilmes, Patrick Nguyen
2007	C	`conf`	Use of syllable nuclei locations to improve ASR. ASRU Chris D. Bartels, Jeff A. Bilmes
2007	—	`conf`	Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data. HLT-NAACL (Short Papers) Amarnag Subramanya, Jeff A. Bilmes
2006	—	`conf`	A Factored Language Model of Quantized Pitch and Duration. ICMC Xiao Li, Gang Ji, Jeff A. Bilmes
2006	J	`jnl`	A high-speed, low-resource ASR back-end based on custom arithmetic. IEEE Trans. Speech Audio Process. Xiao Li, Jonathan Malkin, Jeff A. Bilmes
2006	J	`jnl`	Algorithms for data-driven ASR parameter quantization. Comput. Speech Lang. Karim Filali, Xiao Li, Jeff A. Bilmes
2006	A	`conf`	An online adaptive filtering algorithm for the vocal joystick. INTERSPEECH Xiao Li, Jonathan Malkin, Susumu Harada, Jeff A. Bilmes, Richard Wright, James A. Landay
2006	—	`conf`	Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging. HLT-NAACL Gang Ji, Jeff A. Bilmes
2006	—	`conf`	Graphical Model Representations of Word Lattices. SLT Gang Ji, Jeff A. Bilmes, Jeff Michels, Katrin Kirchhoff, Christopher D. Manning
2006	C	`conf`	Hierarchical Models for Activity Recognition. MMSP Amarnag Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox
2006	—	`ed.`	Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 4-9, 2006, New York, New York, USA HLT-NAACL Robert C. Moore, Jeff A. Bilmes, Jennifer Chu-Carroll, Mark Sanderson
2006	J	`jnl`	Morphology-based language modeling for conversational Arabic speech recognition. Comput. Speech Lang. Katrin Kirchhoff, Dimitra Vergyri, Jeff A. Bilmes, Kevin Duh, Andreas Stolcke
2006	—	`conf`	Multi-dynamic Bayesian Networks. NIPS Karim Filali, Jeff A. Bilmes
2006	A	`conf`	Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. UAI Chris D. Bartels, Jeff A. Bilmes
2006	—	`conf`	Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors. ISER Alvin Raj, Amarnag Subramanya, Dieter Fox, Jeff A. Bilmes
2006	A	`conf`	Recognizing Activities and Spatial Context Using Wearable Sensors. UAI Amar Subramanya, Alvin Raj, Jeff A. Bilmes, Dieter Fox
2006	—	`conf`	Regularized Adaptation of Discriminative Classifiers. ICASSP (1) Xiao Li, Jeff A. Bilmes
2006	—	`conf`	The Vocal Joystick. ICASSP (1) Jeff A. Bilmes, Jonathan Malkin, Xiao Li, Susumu Harada, Kelley Kilanski, Katrin Kirchhoff, Richard Wright, Amarnag Subramanya, James A. Landay, Patricia Dowden, Howard Chizeck
2006	A	`conf`	The vocal joystick data collection effort and vowel corpus. INTERSPEECH Kelley Kilanski, Jonathan Malkin, Xiao Li, Richard Wright, Jeff A. Bilmes
2006	A	`conf`	The vocal joystick: : evaluation of voice-based cursor control techniques. ASSETS Susumu Harada, James A. Landay, Jonathan Malkin, Xiao Li, Jeff A. Bilmes
2006	J	`jnl`	What HMMs Can Do. IEICE Trans. Inf. Syst. Jeff A. Bilmes
2005	A*	`conf`	A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification. ACL Karim Filali, Jeff A. Bilmes
2005	A*	`conf`	A Generative/Discriminative Learning Algorithm for Image Classification. ICCV Yi Li, Linda G. Shapiro, Jeff A. Bilmes
2005	—	`conf`	A Graphical Model for Formant Tracking. ICASSP (1) Jonathan Malkin, Xiao Li, Jeff A. Bilmes
2005	A	`conf`	A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning. UAI Mukund Narasimhan, Jeff A. Bilmes
2005	—	`conf`	DBN-Based Multi-stream Models for Mandarin Toneme Recognition. ICASSP (1) Xin Lei, Gang Ji, Tim Ng, Jeff A. Bilmes, Mari Ostendorf
2005	—	`conf`	Dialog Act Tagging Using Graphical Models. ICASSP (1) Gang Ji, Jeff A. Bilmes
2005	A*	`conf`	Discriminative versus generative parameter and structure learning of Bayesian network classifiers. ICML Franz Pernkopf, Jeff A. Bilmes
2005	J	`jnl`	Feature pruning for low-power ASR systems in clean and noisy environments. IEEE Signal Process. Lett. Xiao Li, Jeff A. Bilmes
2005	A	`conf`	Focused word segmentation for ASR. INTERSPEECH Amarnag Subramanya, Jeff A. Bilmes, Chia-Ping Chen
2005	A	`conf`	Genetic triangulation of graphical models for speech and language processing. INTERSPEECH Chris D. Bartels, Kevin Duh, Jeff A. Bilmes, Katrin Kirchhoff, Simon King
2005	J	`jnl`	Graphical model architectures for speech recognition. IEEE Signal Process. Mag. Jeff A. Bilmes, Chris D. Bartels
2005	A	`conf`	Maximum margin learning and adaptation of MLP classifiers. INTERSPEECH Xiao Li, Jeff A. Bilmes, Jonathan Malkin
2005	—	`conf`	Part-of-Speech Tagging using Virtual Evidence and Negative Training. HLT/EMNLP Sheila M. Reynolds, Jeff A. Bilmes
2005	—	`conf`	Q-Clustering. NIPS Mukund Narasimhan, Nebojsa Jojic, Jeff A. Bilmes
2005	A	`conf`	SVitchboard 1: small vocabulary tasks from Switchboard. INTERSPEECH Simon King, Chris D. Bartels, Jeff A. Bilmes
2005	—	`conf`	Speech Feature Smoothing for Robust ASR. ICASSP (1) Chia-Ping Chen, Jeff A. Bilmes, Daniel P. W. Ellis
2005	—	`conf`	The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments. HLT/EMNLP Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, Amar Subramanya, Susumu Harada, James A. Landay, Patricia Dowden, Howard Chizeck
2004	—	`conf`	Codebook design for ASR systems using custom arithmetic units. ICASSP (1) Xiao Li, Jonathan Malkin, Jeff A. Bilmes
2004	—	`conf`	Custom arithmetic for high-speed, low-resource ASR systems. ICASSP (5) Jonathan Malkin, Xiao Li, Jeff A. Bilmes
2004	—	`conf`	DBN based multi-stream models for audio-visual speech recognition. ICASSP (1) John N. Gowdy, Amarnag Subramanya, Chris D. Bartels, Jeff A. Bilmes
2004	A	`conf`	Graphical model approach to pitch tracking. INTERSPEECH Xiao Li, Jonathan Malkin, Jeff A. Bilmes
2004	—	`conf`	Multi-Speaker Language Modeling. HLT-NAACL (Short Papers) Gang Ji, Jeff A. Bilmes
2004	—	`conf`	Object Class Recognition using Images of Abstract Regions. ICPR (1) Yi Li, Jeff A. Bilmes, Linda G. Shapiro
2004	—	`conf`	Optimal sub-graphical models. NIPS Mukund Narasimhan, Jeff A. Bilmes
2004	A	`conf`	PAC-learning Bounded Tree-width Graphical Models. UAI Mukund Narasimhan, Jeff A. Bilmes
2004	J	`jnl`	Statistical Models for Empirical Search-Based Performance Tuning. Int. J. High Perform. Comput. Appl. Richard W. Vuduc, James Demmel, Jeff A. Bilmes
2003	J	`jnl`	Buried Markov models: a graphical-modeling approach to automatic speech recognition. Comput. Speech Lang. Jeff A. Bilmes
2003	—	`conf`	DBN based multi-stream models for speech. ICASSP (1) Yimin Zhang, Qian Diao, Shan Huang, Wei Hu, Chris D. Bartels, Jeff A. Bilmes
2003	—	`conf`	Factored Language Models and Generalized Parallel Backoff. HLT-NAACL Jeff A. Bilmes, Katrin Kirchhoff
2003	J	`jnl`	Generalized rules for combination and joint training of classifiers. Pattern Anal. Appl. Jeff A. Bilmes, Katrin Kirchhoff
2003	A	`conf`	Hidden feature models for speech recognition using dynamic Bayesian networks. INTERSPEECH Karen Livescu, James R. Glass, Jeff A. Bilmes
2003	J	`jnl`	Hidden-articulator Markov models for speech recognition. Speech Commun. Matthew Richardson, Jeff A. Bilmes, Chris Diorio
2003	J	`jnl`	Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition. Comput. Speech Lang. Martin J. Russell, Jeff A. Bilmes
2003	—	`conf`	Necessary Intransitive Likelihood-Ratio Classifiers. NIPS Gang Ji, Jeff A. Bilmes
2003	—	`conf`	Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop. ICASSP (1) Katrin Kirchhoff, Jeff A. Bilmes, Sourin Das, Nicolae Duta, Melissa Egan, Gang Ji, Feng He, John Henderson, Daben Liu, Mohammed Noamany, Patrick Schone, Richard M. Schwartz, Dimitra Vergyri
2003	A	`conf`	On Triangulating Dynamic Graphical Models. UAI Jeff A. Bilmes, Chris D. Bartels
2002	A	`conf`	Data-driven vector clustering for low-memory footprint ASR. INTERSPEECH Karim Filali, Xiao Li, Jeff A. Bilmes
2002	A	`conf`	Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases. INTERSPEECH Chia-Ping Chen, Karim Filali, Jeff A. Bilmes
2002	A	`conf`	Low-resource noise-robust feature post-processing on Aurora 2.0. INTERSPEECH Chia-Ping Chen, Jeff A. Bilmes, Katrin Kirchhoff
2002	Misc	`conf`	Mixed-memory Markov models for Automatic Language Identification. ICASSP Katrin Kirchhoff, Sonia Parandekar, Jeff A. Bilmes
2002	Misc	`conf`	Robust splicing costs and efficient search with BMM Models for concatenative speech synthesis. ICASSP Ivan Bulyko, Mari Ostendorf, Jeff A. Bilmes
2002	Misc	`conf`	Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop. ICASSP Geoffrey Zweig, Jeff A. Bilmes, Thomas Richardson, Karim Filali, Karen Livescu, Peng Xu, Kirk Jackson, Yigal Brandman, Eric D. Sandness, Eva Holtz, Jerry Torres, Bill Byrne
2002	A	`conf`	The 2001 GMTK-based SPINE ASR system. INTERSPEECH Özgür Çetin, Harriet J. Nock, Katrin Kirchhoff, Jeff A. Bilmes, Mari Ostendorf
2002	Misc	`conf`	The graphical models toolkit: An open source software system for speech and time-series processing. ICASSP Jeff A. Bilmes, Geoffrey Zweig
2001	—	`conf`	Intransitive Likelihood-Ratio Classifiers. NIPS Jeff A. Bilmes, Gang Ji, Marina Meila
2001	Misc	`conf`	Statistical Models for Automatic Performance Tuning. International Conference on Computational Science (1) Rich Vuduc, James Demmel, Jeff A. Bilmes
2000	A	`conf`	Directed graphical models of classifier combination: application to phone recognition. INTERSPEECH Jeff A. Bilmes, Katrin Kirchhoff
2000	A	`conf`	Dynamic Bayesian Multinets. UAI Jeff A. Bilmes
2000	Misc	`conf`	Factored sparse inverse covariance matrices. ICASSP Jeff A. Bilmes
2000	A	`conf`	Hidden-articulator Markov models: performance improvements and robustness to noise. INTERSPEECH Matthew Richardson, Jeff A. Bilmes, Chris Diorio
2000	A	`conf`	Using mutual information to design feature combinations. INTERSPEECH Daniel P. W. Ellis, Jeff A. Bilmes
1999	Misc	`conf`	Buried Markov models for speech recognition. ICASSP Jeff A. Bilmes
1999	Misc	`conf`	Dynamic classifier combination in hybrid speech recognition systems using utterance-level confidence values. ICASSP Katrin Kirchhoff, Jeff A. Bilmes
1998	—	`conf`	Data-driven extensions to HMM statistical dependencies. ICSLP Jeff A. Bilmes
1998	Misc	`conf`	Maximum mutual information based reduction strategies for cross-correlation based joint distributional modeling. ICASSP Jeff A. Bilmes
1997	A	`conf`	Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology. International Conference on Supercomputing Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel
1997	Misc	`conf`	Using PHiPAC to speed error back-propagation learning. ICASSP Jeff A. Bilmes, Krste Asanovic, Chee-Whye Chin, James Demmel
1996	—	`conf`	Stochastic perceptual speech models with durational dependence. ICSLP Jeff A. Bilmes, Nelson Morgan, Su-Lin Wu, Hervé Bourlard
1993	—	`conf`	Techniques to Foster Drum Machine Expressivity. ICMC Jeff A. Bilmes
1992	—	`conf`	A Model for Musical Rhythm. ICMC Jeff A. Bilmes
1992	J	`jnl`	The Ring Array Processor: A Multiprocessing Peripheral for Connection Applications. J. Parallel Distributed Comput. Nelson Morgan, James Beck, Phil Kohn, Jeff A. Bilmes, Eric Allman, Joachim Beer
1991	—	`conf`	Concurrent Real-Time Music in C++. C++ Conference David P. Anderson, Jeff A. Bilmes
1991	—	`conf`	Software for ANN Training on a Ring Array Processor. NIPS Phil Kohn, Jeff A. Bilmes, Nelson Morgan, James Beck
1991	J	`jnl`	Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation. IEEE Trans. Knowl. Data Eng. Oliver Günther, Jeff A. Bilmes
1989	Misc	`conf`	The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation. BTW Oliver Günther, Jeff A. Bilmes