Venkatesh Saligrama

320 papers A* 51A 18B 18C 7Misc 22Journal 152Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepFact: Co-Evolving Benchmarks and Agents for Deep Research Factuality. CoRR Yukun Huang, Leonardo F. R. Ribeiro, Momchil Hardalov, Bhuwan Dhingra, Markus Dreyer, Venkatesh Saligrama
2026	—	`conf`	Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation. EACL (Findings) Arjun Chandra, Kevin Miller, Venkatesh Ravichandran, Constantinos Papayiannis, Venkatesh Saligrama
2026	J	`jnl`	Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation. CoRR Arjun Chandra, Kevin Miller, Venkatesh Ravichandran, Constantinos Papayiannis, Venkatesh Saligrama
2025	J	`jnl`	BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models. CoRR Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong
2025	J	`jnl`	BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning. CoRR Shengao Wang, Arjun Chandra, Aoming Liu, Venkatesh Saligrama, Boqing Gong
2025	J	`jnl`	Constrained Linear Thompson Sampling. CoRR Aditya Gangrade, Venkatesh Saligrama
2025	J	`jnl`	Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	Feasible Action Search for Bandit Linear Programs via Thompson Sampling. ICML Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama
2025	A*	`conf`	GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. ICLR Ziming Zhang, Fangzhou Lin, Haotian Liu, Jose Morales, Haichong Zhang, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2025	J	`jnl`	Linear Transformers Implicitly Discover Unified Numerical Algorithms. CoRR Patrick Lutz, Aditya Gangrade, Hadi Daneshmand, Venkatesh Saligrama
2025	—	`conf`	SCRAMBLe: Enhancing Multimodal LLM Compositionality with Synthetic Preference Data. ICCVW Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. CVPR Kevin Miller, Aditya Gangrade, Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	J	`jnl`	SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. CoRR Kevin Miller, Samarth Mishra, Aditya Gangrade, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. EMNLP Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2025	J	`jnl`	Scaling Up Temporal Domain Generalization via Temporal Experts Averaging. CoRR Aoming Liu, Kevin Miller, Venkatesh Saligrama, Kate Saenko, Boqing Gong, Ser-Nam Lim, Bryan A. Plummer
2024	J	`jnl`	Deep Companion Learning: Enhancing Generalization Through Historical Consistency. CoRR Ruizhao Zhu, Venkatesh Saligrama
2024	J	`jnl`	Interpretable Compositional Representations for Robust Few-Shot Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama
2024	A*	`conf`	Safe Linear Bandits over Unknown Polytopes. COLT Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama
2024	J	`jnl`	SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2024	A*	`conf`	Testing the Feasibility of Linear Programs with Bandit Feedback. ICML Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
2024	J	`jnl`	Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
2023	A*	`conf`	Efficient Edge Inference by Selective Query. ICLR Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
2023	J	`jnl`	Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction. CoRR Chen Chen, Dylan Walker, Venkatesh Saligrama
2023	A	`conf`	Fine-grained Few-shot Recognition by Deep Object Parsing. BMVC Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama
2023	—	`conf`	Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"! ACL (1) Chen Chen, Dylan Walker, Venkatesh Saligrama
2023	A*	`conf`	InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya B. Kolachalama, Venkatesh Saligrama
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	Misc	`conf`	Learning to Drive Anywhere. CoRL Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama
2023	J	`jnl`	Learning to Drive Anywhere. CoRR Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama
2023	A*	`conf`	Scaffolding a Student to Instill Knowledge. ICLR Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
2022	J	`jnl`	A Doubly Optimistic Strategy for Safe Linear Bandits. CoRR Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
2022	A*	`conf`	ActiveHedge: Hedge meets Active Learning. ICML Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama
2022	A*	`conf`	Condensing CNNs with Partial Differential Equations. CVPR Anil Kag, Venkatesh Saligrama
2022	A*	`conf`	Faster Algorithms for Learning Convex Functions. ICML Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis
2022	J	`jnl`	FedHeN: Federated Learning in Heterogeneous Networks. CoRR Durmus Alp Emre Acar, Venkatesh Saligrama
2022	J	`jnl`	Fine-grained Few-shot Recognition by Deep Object Parsing. CoRR Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	J	`jnl`	Learning Compositional Representations for Effective Low-Shot Generalization. CoRR Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama
2022	A*	`conf`	Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. ICML Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
2022	J	`jnl`	Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. CoRR Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
2022	A*	`conf`	Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2021	A*	`conf`	Bandit Quickest Changepoint Detection. NeurIPS Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama
2021	J	`jnl`	Bandit Quickest Changepoint Detection. CoRR Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
2021	A*	`conf`	Debiasing Model Updates for Improving Personalized Federated Training. ICML Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021	—	`conf`	Effectively Leveraging Attributes for Visual Similarity. CVPR Workshops Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	A*	`conf`	Effectively Leveraging Attributes for Visual Similarity. ICCV Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	J	`jnl`	Effectively Leveraging Attributes for Visual Similarity. CoRR Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	J	`jnl`	Faster Convex Lipschitz Regression via 2-block ADMM. CoRR Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis
2021	A*	`conf`	Federated Learning Based on Dynamic Regularization. ICLR Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021	J	`jnl`	Federated Learning Based on Dynamic Regularization. CoRR Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
2021	A*	`conf`	Memory Efficient Online Meta Learning. ICML Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama
2021	A*	`conf`	Online Selective Classification with Limited Feedback. NeurIPS Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
2021	J	`jnl`	Online Selective Classification with Limited Feedback. CoRR Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
2021	A	`conf`	Selective Classification via One-Sided Prediction. AISTATS Aditya Gangrade, Anil Kag, Venkatesh Saligrama
2021	A	`conf`	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021	J	`jnl`	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021	J	`jnl`	Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2021	A*	`conf`	Time Adaptive Recurrent Neural Network. CVPR Anil Kag, Venkatesh Saligrama
2021	A*	`conf`	Training Recurrent Neural Networks via Forward Propagation Through Time. ICML Anil Kag, Venkatesh Saligrama
2020	A	`conf`	Budget Learning via Bracketing. AISTATS Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
2020	J	`jnl`	Budget Learning via Bracketing. CoRR Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama
2020	A*	`conf`	Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. CVPR Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2020	J	`jnl`	Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. J. Mach. Learn. Res. Yao Ma, Alex Olshevsky, Csaba Szepesvári, Venkatesh Saligrama
2020	A*	`conf`	Learning to Approximate a Bregman Divergence. NeurIPS Ali Siahkamari, Xide Xia, Venkatesh Saligrama, David A. Castañón, Brian Kulis
2020	A*	`conf`	Limits on Testing Structural Changes in Ising Models. NeurIPS Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
2020	J	`jnl`	Limits on Testing Structural Changes in Ising Models. CoRR Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
2020	—	`conf`	Low Dimensional Visual Attributes: An Interpretable Image Encoding. ICPR Workshops (3) Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama
2020	A	`conf`	Minimax Rank-$1$ Matrix Factorization. AISTATS Venkatesh Saligrama, Alexander Olshevsky, Julien M. Hendrickx
2020	A*	`conf`	Minimax Rate for Learning From Pairwise Comparisons in the BTL Model. ICML Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama
2020	A*	`conf`	Online Algorithm for Unsupervised Sequential Selection with Contextual Information. NeurIPS Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2020	J	`jnl`	Online Algorithm for Unsupervised Sequential Selection with Contextual Information. CoRR Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2020	A*	`conf`	Piecewise Linear Regression via a Difference of Convex Functions. ICML Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
2020	J	`jnl`	Piecewise Linear Regression via a Difference of Convex Functions. CoRR Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
2020	B	`conf`	RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
2020	J	`jnl`	RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
2020	A*	`conf`	RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR Anil Kag, Ziming Zhang, Venkatesh Saligrama
2020	J	`jnl`	Selective Classification via One-Sided Prediction. CoRR Aditya Gangrade, Anil Kag, Venkatesh Saligrama
2020	J	`jnl`	Zero Shot Detection. IEEE Trans. Circuits Syst. Video Technol. Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019	A	`conf`	Cost aware Inference for IoT Devices. AISTATS Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama
2019	A*	`conf`	Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. ICCV Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
2019	J	`jnl`	Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. CoRR Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019	A*	`conf`	Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. NeurIPS Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
2019	J	`jnl`	Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
2019	A*	`conf`	Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. CVPR Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019	J	`jnl`	Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. CoRR Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári
2019	A*	`conf`	Graph Resistance and Learning from Pairwise Comparisons. ICML Julien M. Hendrickx, Alexander Olshevsky, Venkatesh Saligrama
2019	J	`jnl`	Graph Resistance and Learning from Pairwise Comparisons. CoRR Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama
2019	J	`jnl`	Learning Bregman Divergences. CoRR Ali Siahkamari, Venkatesh Saligrama, David Castanon, Brian Kulis
2019	A*	`conf`	Learning Classifiers for Target Domain with Limited or No Labels. ICML Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019	J	`jnl`	Learning for New Visual Environments with Limited Labels. CoRR Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2019	A	`conf`	Online Algorithm for Unsupervised Sensor Selection. AISTATS Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2019	J	`jnl`	Online Algorithm for Unsupervised Sensor Selection. CoRR Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2019	J	`jnl`	Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs. IEEE Trans. Multim. Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama
2019	J	`jnl`	RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR Anil Kag, Ziming Zhang, Venkatesh Saligrama
2019	—	`conf`	Robust Text Classifier on Test-Time Budgets. EMNLP/IJCNLP (1) Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama
2019	A*	`conf`	Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. NeurIPS Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
2018	J	`jnl`	Generalized Zero-Shot Recognition based on Visually Semantic Embedding. CoRR Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
2018	A*	`conf`	Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. ICML Yao Ma, Alexander Olshevsky, Csaba Szepesvári, Venkatesh Saligrama
2018	J	`jnl`	Learning Where to Fixate on Foveated Images. CoRR Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
2018	J	`jnl`	On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. IEEE Trans. Inf. Theory Anelia Somekh-Baruch, Amir Leshem, Venkatesh Saligrama
2018	J	`jnl`	Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
2018	J	`jnl`	Testing Changes in Communities for the Stochastic Block Model. CoRR Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
2018	Misc	`conf`	Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds. ICASSP Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
2018	J	`jnl`	Zero-Shot Detection. CoRR Pengkai Zhu, Hanxiao Wang, Tolga Bolukbasi, Venkatesh Saligrama
2017	—	`conf`	Adaptive Classification for Prediction Under a Budget. NIPS Feng Nan, Venkatesh Saligrama
2017	J	`jnl`	Adaptive Classification for Prediction Under a Budget. CoRR Feng Nan, Venkatesh Saligrama
2017	A*	`conf`	Adaptive Neural Networks for Efficient Inference. ICML Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017	J	`jnl`	Adaptive Neural Networks for Fast Test-Time Prediction. CoRR Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017	J	`jnl`	Clustering and Community Detection With Imbalanced Clusters. IEEE Trans. Signal Inf. Process. over Networks Cem Aksoylar, Jing Qian, Venkatesh Saligrama
2017	J	`jnl`	Comments on the Proof of Adaptive Stochastic Set Cover Based on Adaptive Submodularity and Its Implications for the Group Identification Problem in "Group-Based Active Query Selection for Rapid Diagnosis in Time-Critical Situations". IEEE Trans. Inf. Theory Feng Nan, Venkatesh Saligrama
2017	J	`jnl`	Comments on the proof of adaptive submodular function minimization. CoRR Feng Nan, Venkatesh Saligrama
2017	A*	`conf`	Connected Subgraph Detection with Mirror Descent on SDPs. ICML Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama
2017	J	`jnl`	Crowdsourcing with Sparsely Interacting Workers. CoRR Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári
2017	J	`jnl`	Dynamic Model Selection for Prediction Under a Budget. CoRR Feng Nan, Venkatesh Saligrama
2017	J	`jnl`	Field of Groves: An Energy-Efficient Random Forest. CoRR Zafar Takhirov, Joseph Wang, Marcia S. Louis, Venkatesh Saligrama, Ajay Joshi
2017	J	`jnl`	Learning Immune-Defectives Graph Through Group Tests. IEEE Trans. Inf. Theory Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama
2017	J	`jnl`	Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models. CoRR Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
2017	—	`conf`	Lower bounds for two-sample structural change detection in ising and Gaussian models. Allerton Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
2017	J	`jnl`	PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. Ziming Zhang, Venkatesh Saligrama
2017	J	`jnl`	Probabilistic Semantic Retrieval for Surveillance Videos with Activity Graphs. CoRR Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama
2017	A*	`conf`	Resource Constrained Structured Prediction. AAAI Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2017	J	`jnl`	Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. CoRR Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama
2017	J	`jnl`	Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. IEEE Trans. Inf. Theory Cem Aksoylar, George K. Atia, Venkatesh Saligrama
2017	A	`conf`	Unsupervised Sequential Sensor Acquisition. AISTATS Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2016	J	`jnl`	A Provably Efficient Algorithm for Separable Topic Discovery. IEEE J. Sel. Top. Signal Process. Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2016	C	`conf`	A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera. ACC Huanyu Ding, Eric Cristofalo, Joseph Wang, David A. Castañón, Eduardo Montijano, Venkatesh Saligrama, Mac Schwager
2016	J	`jnl`	Clustering and Community Detection with Imbalanced Clusters. CoRR Cem Aksoylar, Jing Qian, Venkatesh Saligrama
2016	A*	`conf`	Efficient Training of Very Deep Neural Networks for Supervised Hashing. CVPR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2016	Misc	`conf`	Efficient algorithms for linear polyhedral bandits. ICASSP Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama
2016	A	`conf`	Energy-Efficient Adaptive Classifier Design for Mobile Systems. ISLPED Zafar Takhirov, Joseph Wang, Venkatesh Saligrama, Ajay Joshi
2016	J	`jnl`	Guest Editorial Inference and Learning over Networks. IEEE Trans. Signal Inf. Process. over Networks Vincenzo Matta, Cédric Richard, Venkatesh Saligrama, Ali H. Sayed
2016	J	`jnl`	Learning Joint Feature Adaptation for Zero-Shot Recognition. CoRR Ziming Zhang, Venkatesh Saligrama
2016	J	`jnl`	Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs. CoRR Jonathan Root, Venkatesh Saligrama, Jing Qian
2016	—	`conf`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. NIPS Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016	J	`jnl`	Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai
2016	J	`jnl`	Minimax Optimal Sparse Signal Recovery With Poisson Statistics. IEEE Trans. Signal Process. Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri
2016	J	`jnl`	On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. CoRR Anelia Somekh-Baruch, Amir Leshem, Venkatesh Saligrama
2016	J	`jnl`	Optimally Pruning Decision Tree Ensembles With Feature Cost. CoRR Feng Nan, Joseph Wang, Venkatesh Saligrama
2016	—	`conf`	Pruning Random Forests for Prediction on a Budget. NIPS Feng Nan, Joseph Wang, Venkatesh Saligrama
2016	J	`jnl`	Pruning Random Forests for Prediction on a Budget. CoRR Feng Nan, Joseph Wang, Venkatesh Saligrama
2016	J	`jnl`	Quantifying and Reducing Stereotypes in Word Embeddings. CoRR Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016	J	`jnl`	Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. IEEE Trans. Circuits Syst. Video Technol. Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin
2016	J	`jnl`	Sequential Learning without Feedback. CoRR Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2016	J	`jnl`	Structured Prediction with Test-time Budget Constraints. CoRR Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2016	A*	`conf`	Zero-Shot Learning via Joint Latent Similarity Embedding. CVPR Ziming Zhang, Venkatesh Saligrama
2016	—	`conf`	Zero-Shot Recognition via Structured Prediction. ECCV (7) Ziming Zhang, Venkatesh Saligrama
2015	A	`conf`	A Topic Modeling Approach to Ranking. AISTATS Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015	J	`jnl`	Algorithms for Linear Bandits on Polyhedral Sets. CoRR Manjesh Kumar Hanawal, Amir Leshem, Venkatesh Saligrama
2015	J	`jnl`	BING++: A Fast High Quality Object Proposal Generator at 100fps. CoRR Ziming Zhang, Yun Liu, Tolga Bolukbasi, Ming-Ming Cheng, Venkatesh Saligrama
2015	A*	`conf`	Cheap Bandits. ICML Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos
2015	J	`jnl`	Cheap Bandits. CoRR Manjesh Kumar Hanawal, Venkatesh Saligrama, Michal Valko, Rémi Munos
2015	J	`jnl`	Classifying Unseen Instances by Learning Class-Independent Similarity Functions. CoRR Ziming Zhang, Venkatesh Saligrama
2015	J	`jnl`	Correction to "Boolean Compressed Sensing and Noisy Group Testing". IEEE Trans. Inf. Theory George K. Atia, Venkatesh Saligrama, Cem Aksoylar
2015	—	`conf`	Cost effective algorithms for spectral bandits. Allerton Manjesh Kumar Hanawal, Venkatesh Saligrama
2015	A*	`conf`	Efficient Activity Retrieval through Semantic Graph Queries. ACM Multimedia Gregory D. Castañón, Yuting Chen, Ziming Zhang, Venkatesh Saligrama
2015	—	`conf`	Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. NIPS Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2015	J	`jnl`	Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. CoRR Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2015	Misc	`conf`	Efficient detection and localization on graph structured data. ICASSP Manjesh Kumar Hanawal, Venkatesh Saligrama
2015	A*	`conf`	Feature-Budgeted Random Forest. ICML Feng Nan, Joseph Wang, Venkatesh Saligrama
2015	J	`jnl`	Feature-Budgeted Random Forest. CoRR Feng Nan, Joseph Wang, Venkatesh Saligrama
2015	A*	`conf`	Group Membership Prediction. ICCV Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2015	J	`jnl`	Group Membership Prediction. CoRR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2015	A	`conf`	Learning Efficient Anomaly Detectors from K-NN Graphs. AISTATS Jonathan Root, Jing Qian, Venkatesh Saligrama
2015	J	`jnl`	Learning Efficient Anomaly Detectors from K-NN Graphs. CoRR Jing Qian, Jonathan Root, Venkatesh Saligrama
2015	J	`jnl`	Learning Immune-Defectives Graph through Group Tests. CoRR Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama
2015	J	`jnl`	Learning Mixed Membership Mallows Models from Pairwise Comparisons. CoRR Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015	B	`conf`	Learning immune-defectives graph through group tests. ISIT Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama
2015	Misc	`conf`	Learning shared rankings from mixtures of noisy pairwise comparisons. ICASSP Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015	J	`jnl`	Max-Cost Discrete Function Evaluation Problem under a Budget. CoRR Feng Nan, Joseph Wang, Venkatesh Saligrama
2015	Misc	`conf`	Most large topic models are approximately separable. ITA Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015	J	`jnl`	Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. CoRR Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2015	B	`conf`	Non-adaptive group testing with inhibitors. ITW Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama
2015	J	`jnl`	Prediction of hospitalization due to heart diseases by supervised learning methods. Int. J. Medical Informatics Wuyang Dai, Theodora S. Brisimi, William G. Adams, Theofanie Mela, Venkatesh Saligrama, Ioannis Ch. Paschalidis
2015	Misc	`conf`	Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. ICASSP Ziming Zhang, Venkatesh Saligrama
2015	J	`jnl`	Sensor Selection by Linear Programming. CoRR Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2015	J	`jnl`	Supervised Hashing with Deep Neural Networks. CoRR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2015	A*	`conf`	Zero-Shot Learning via Semantic Similarity Embedding. ICCV Ziming Zhang, Venkatesh Saligrama
2015	J	`jnl`	Zero-Shot Learning via Semantic Similarity Embedding. CoRR Ziming Zhang, Venkatesh Saligrama
2014	—	`conf`	A Novel Visual Word Co-occurrence Model for Person Re-identification. ECCV Workshops (3) Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2014	J	`jnl`	A Novel Visual Word Co-occurrence Model for Person Re-identification. CoRR Ziming Zhang, Yuting Chen, Venkatesh Saligrama
2014	J	`jnl`	A Topic Modeling Approach to Ranking. CoRR Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2014	A	`conf`	An LP for Sequential Learning Under Budgets. AISTATS Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2014	Misc	`conf`	Anomalous cluster detection. ICASSP Jing Qian, Venkatesh Saligrama, Yuting Chen
2014	A	`conf`	Connected Sub-graph Detection. AISTATS Jing Qian, Venkatesh Saligrama, Yuting Chen
2014	A	`conf`	Efficient Distributed Topic Modeling with Provable Guarantees. AISTATS Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
2014	—	`conf`	Efficient Minimax Signal Detection on Graphs. NIPS Jing Qian, Venkatesh Saligrama
2014	Misc	`conf`	Fast margin-based cost-sensitive classification. ICASSP Feng Nan, Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2014	J	`jnl`	Information-Theoretic Bounds for Adaptive Sparse Recovery. CoRR Cem Aksoylar, Venkatesh Saligrama
2014	A	`conf`	Information-Theoretic Characterization of Sparse Recovery. AISTATS Cem Aksoylar, Venkatesh Saligrama
2014	B	`conf`	Information-theoretic bounds for adaptive sparse recovery. ISIT Cem Aksoylar, Venkatesh Saligrama
2014	—	`conf`	Model Selection by Linear Programming. ECCV (2) Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama
2014	J	`jnl`	Non-Adaptive Group Testing with Inhibitors. CoRR Abhinav Ganesan, Javad Ebrahimi, Sidharth Jaggi, Venkatesh Saligrama
2014	J	`jnl`	Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms. IEEE Trans. Inf. Theory Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri
2014	J	`jnl`	Person Re-identification via Structured Prediction. CoRR Ziming Zhang, Venkatesh Saligrama
2014	J	`jnl`	RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization. CoRR Ziming Zhang, Venkatesh Saligrama
2014	J	`jnl`	Retrieval in Long Surveillance Videos using User Described Motion and Object Attributes. CoRR Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin
2014	Misc	`conf`	Sensing-aware kernel SVM. ICASSP Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl
2014	J	`jnl`	Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data. CoRR Cem Aksoylar, Venkatesh Saligrama
2014	Misc	`conf`	Sparse signal recovery under poisson statistics for online marketing applications. ICASSP Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama
2014	Misc	`conf`	Spectral clustering with imbalanced data. ICASSP Jing Qian, Venkatesh Saligrama
2013	Misc	`conf`	A new geometric approach to latent topic modeling and discovery. ICASSP Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
2013	Misc	`conf`	A new one-class SVM for anomaly detection. ICASSP Yuting Chen, Jing Qian, Venkatesh Saligrama
2013	B	`conf`	An impossibility result for high dimensional supervised learning. ITW Mohammad H. Rohban, Prakash Ishwar, Burkay Orten, William Clement Karl, Venkatesh Saligrama
2013	Misc	`conf`	Compressive sensing bounds through a unifying framework for sparse models. ICASSP Cem Aksoylar, George K. Atia, Venkatesh Saligrama
2013	Misc	`conf`	Dynamic topic discovery through sequential projections. ACSSC Weicong Ding, Prakash Ishwar, Venkatesh Saligrama
2013	J	`jnl`	Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. IEEE J. Sel. Top. Signal Process. Venkatesh Saligrama, Ery Arias-Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli
2013	C	`conf`	Locally-Linear Learning Machines (L3M). ACML Joseph Wang, Venkatesh Saligrama
2013	J	`jnl`	Multi-stage classifier design. Mach. Learn. Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2013	J	`jnl`	Near-Optimal Stochastic Threshold Group Testing CoRR Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama
2013	J	`jnl`	Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. CoRR Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama
2013	—	`conf`	Online local linear classification. CAMSAP Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama
2013	J	`jnl`	Sensing-Aware Kernel SVM. CoRR Weicong Ding, Prakash Ishwar, Venkatesh Saligrama, W. Clem Karl
2013	J	`jnl`	Sparse Signal Processing with Linear and Non-Linear Observations: A Unified Shannon Theoretic Approach CoRR Cem Aksoylar, George K. Atia, Venkatesh Saligrama
2013	B	`conf`	Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. ITW Cem Aksoylar, George K. Atia, Venkatesh Saligrama
2013	—	`conf`	Sparse signal recovery under Poisson statistics. Allerton Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama
2013	B	`conf`	Stochastic threshold group testing. ITW Chun Lam Chan, Sheng Cai, Mayank Bakshi, Sidharth Jaggi, Venkatesh Saligrama
2013	A	`conf`	Supervised Sequential Classification Under Budget Constraints. AISTATS Kirill Trapeznikov, Venkatesh Saligrama
2013	J	`jnl`	Topic Discovery through Data Dependent and Random Projections CoRR Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama
2013	—	`conf`	Topic Discovery through Data Dependent and Random Projections. ICML (3) Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama
2013	—	`conf`	User-assisted reflection detection and feature point tracking. CVMP Mohamed A. Elgharib, François Pitié, Anil C. Kokaram, Venkatesh Saligrama
2012	—	`conf`	A combined approach to multi-label multi-task learning. SSP Delaram Motamedvaziri, Venkatesh Saligrama, David A. Castañón
2012	J	`jnl`	Aperiodic Sequences With Uniformly Decaying Correlations With Applications to Compressed Sensing and System Identification. IEEE Trans. Inf. Theory Venkatesh Saligrama
2012	—	`conf`	Bayesian filtering without an observation model. CDC Peter B. Jones, Sanjoy K. Mitter, Venkatesh Saligrama
2012	J	`jnl`	Behavior Subtraction. IEEE Trans. Image Process. Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad
2012	J	`jnl`	Boolean Compressed Sensing and Noisy Group Testing. IEEE Trans. Inf. Theory George K. Atia, Venkatesh Saligrama
2012	J	`jnl`	Cost Sensitive Sequential Classification CoRR Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2012	A*	`conf`	Exploratory search of long surveillance videos. ACM Multimedia Gregory D. Castañón, André-Louis Caron, Venkatesh Saligrama, Pierre-Marc Jodoin
2012	J	`jnl`	Graph-Constrained Group Testing. IEEE Trans. Inf. Theory Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama
2012	J	`jnl`	Graph-based Learning with Unbalanced Clusters CoRR Jing Qian, Venkatesh Saligrama, Manqi Zhao
2012	A	`conf`	Local Anomaly Detection. AISTATS Venkatesh Saligrama, Manqi Zhao
2012	—	`conf`	Local Supervised Learning through Space Partitioning. NIPS Joseph Wang, Venkatesh Saligrama
2012	C	`conf`	Multi-Stage Classifier Design. ACML Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2012	—	`conf`	New statistic in P-value estimation for anomaly detection. SSP Jing Qian, Venkatesh Saligrama
2012	J	`jnl`	Non-adaptive Group Testing: Explicit bounds and novel algorithms CoRR Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri
2012	B	`conf`	Non-adaptive group testing: Explicit bounds and novel algorithms. ISIT Chun Lam Chan, Sidharth Jaggi, Venkatesh Saligrama, Samar Agnihotri
2012	B	`conf`	Real-Time Activity Search of Surveillance Video. AVSS Greg Castañón, Venkatesh Saligrama, André-Louis Caron, Pierre-Marc Jodoin
2012	—	`conf`	Sample complexity of salient feature identification for sparse signal processing. SSP Cem Aksoylar, George K. Atia, Venkatesh Saligrama
2012	—	`conf`	Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals. SSP Zachary Sun, W. Clem Karl, Prakash Ishwar, Venkatesh Saligrama
2012	—	`conf`	Two stage decision system. SSP Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2012	A*	`conf`	Video anomaly detection based on local statistical aggregates. CVPR Venkatesh Saligrama, Zhu Chen
2011	J	`jnl`	A Token Based Algorithm to Distributed Computation in Sensor Networks CoRR Venkatesh Saligrama, Murat Alanyali
2011	J	`jnl`	A Token-Based Approach for Distributed Computation in Sensor Networks. IEEE J. Sel. Top. Signal Process. Venkatesh Saligrama, Murat Alanyali
2011	J	`jnl`	Abnormality detection using low-level co-occurring events. Pattern Recognit. Lett. Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama
2011	A	`conf`	Active Boosted Learning (ActBoost). AISTATS Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón
2011	J	`jnl`	Broadband Dispersion Extraction Using Simultaneous Sparse Penalization. IEEE Trans. Signal Process. Shuchin Aeron, Sandip Bose, Henri-Pierre Valero, Venkatesh Saligrama
2011	J	`jnl`	Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms CoRR Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama
2011	—	`conf`	Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. Allerton Chun Lam Chan, Pak Hou Che, Sidharth Jaggi, Venkatesh Saligrama
2011	—	`conf`	Sensing structure in learning-based binary classification of high-dimensional data. Allerton Burkay Orten, Prakash Ishwar, William Clement Karl, Venkatesh Saligrama
2011	Misc	`conf`	Sensing-aware classification with high-dimensional data. ICASSP Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkatesh Saligrama, Homer H. Pien
2011	—	`conf`	Structural similarity and distance in learning. Allerton Joseph Wang, Venkatesh Saligrama, David A. Castañón
2011	J	`jnl`	Thresholded Basis Pursuit: LP Algorithm for Order-Wise Optimal Support Recovery for Sparse and Approximately Sparse Signals From Noisy Random Measurements. IEEE Trans. Inf. Theory Venkatesh Saligrama, Manqi Zhao
2010	C	`conf`	A new algorithm for outlier rejection in particle filters. FUSION Rohit Kumar, David A. Castañón, Erhan Baki Ermis, Venkatesh Saligrama
2010	J	`jnl`	Activity Based Matching in Distributed Camera Networks. IEEE Trans. Image Process. Erhan Baki Ermis, Pierre Clarot, Pierre-Marc Jodoin, Venkatesh Saligrama
2010	—	`conf`	Decentralized compressive sensing. Allerton Delaram Motamedvaziri, Venkatesh Saligrama, David Castanon
2010	J	`jnl`	Distributed detection in sensor networks with limited range multimodal sensors. IEEE Trans. Signal Process. Erhan Baki Ermis, Venkatesh Saligrama
2010	J	`jnl`	Graph-Constrained Group Testing CoRR Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama
2010	B	`conf`	Graph-constrained group testing. ISIT Mahdi Cheraghchi, Amin Karbasi, Soheil Mohajer, Venkatesh Saligrama
2010	J	`jnl`	Information theoretic bounds for compressed sensing. IEEE Trans. Inf. Theory Shuchin Aeron, Venkatesh Saligrama, Manqi Zhao
2010	—	`conf`	Markov group testing. Allerton Joseph Wang, Venkatesh Saligrama, David A. Castañón
2010	—	`conf`	Noisy filtered sparse processes: Reconstruction and compression. CDC Manqi Zhao, Venkatesh Saligrama
2010	Misc	`conf`	On compressed blind de-convolution of filtered sparse processes. ICASSP Manqi Zhao, Venkatesh Saligrama
2010	—	`conf`	Probabilistic Belief Revision with Structural Constraints. NIPS Peter B. Jones, Venkatesh Saligrama, Sanjoy K. Mitter
2010	C	`conf`	Revision of marginal probability assessments. FUSION Peter B. Jones, Sanjoy K. Mitter, Venkatesh Saligrama
2010	Misc	`conf`	Sparsity penalized reconstruction framework for broadband dispersion extraction. ICASSP Shuchin Aeron, Sandip Bose, Henri-Pierre Valero, Venkatesh Saligrama
2010	J	`jnl`	Video Anomaly Identification. IEEE Signal Process. Mag. Venkatesh Saligrama, Janusz Konrad, Pierre-Marc Jodoin
2009	J	`jnl`	A technical framework for light- handed regulation of cognitive radios. IEEE Commun. Mag. Anant Sahai, Kristen Ann Woyach, George K. Atia, Venkatesh Saligrama
2009	A*	`conf`	Abnormal events detection based on spatio-temporal co-occurences. CVPR Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger
2009	J	`jnl`	Anomaly Detection with Score functions based on Nearest Neighbor Graphs CoRR Manqi Zhao, Venkatesh Saligrama
2009	—	`conf`	Anomaly Detection with Score functions based on Nearest Neighbor Graphs. NIPS Manqi Zhao, Venkatesh Saligrama
2009	J	`jnl`	Behavior Subtraction CoRR Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad
2009	J	`jnl`	Boolean Compressed Sensing and Noisy Group Testing CoRR George K. Atia, Venkatesh Saligrama
2009	J	`jnl`	Compressed Blind De-convolution CoRR Venkatesh Saligrama, Manqi Zhao
2009	J	`jnl`	Foreground-Adaptive Background Subtraction. IEEE Signal Process. Lett. J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin
2009	—	`conf`	Implicit Active-Contouring with MRF. ICIAR Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Konrad
2009	—	`conf`	Noisy group testing: An information theoretic perspective. Allerton George K. Atia, Venkatesh Saligrama
2009	—	`conf`	Outlier detection via localized p-value estimation. Allerton Manqi Zhao, Venkatesh Saligrama
2009	—	`conf`	Unsupervised camera network structure estimation based on activity. ICDSC Pierre Clarot, Erhan Baki Ermis, Pierre-Marc Jodoin, Venkatesh Saligrama
2008	—	`conf`	Abnormal behavior detection and behavior matching for networked cameras. ICDSC Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc Jodoin, Janusz Konrad
2008	—	`conf`	Codes to unmask spectrum violators in cognitive radio systems. ACSCC George K. Atia, Venkatesh Saligrama, Anant Sahai
2008	—	`conf`	Crime and Punishment for Cognitive Radios. Allerton Kristen Ann Woyach, Anant Sahai, George K. Atia, Venkatesh Saligrama
2008	J	`jnl`	Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification CoRR Venkatesh Saligrama
2008	J	`jnl`	Distributed Detection in Sensor Networks with Limited Range Multi-Modal Sensors CoRR Erhan Baki Ermis, Venkatesh Saligrama
2008	J	`jnl`	Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks. IEEE Trans. Signal Process. Shuchin Aeron, Venkatesh Saligrama, David A. Castañón
2008	J	`jnl`	Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing CoRR Shuchin Aeron, Manqi Zhao, Venkatesh Saligrama
2008	—	`conf`	Modeling background activity for behavior subtraction. ICDSC Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Saligrama
2008	B	`conf`	Motion detection with an unstable camera. ICIP Pierre-Marc Jodoin, Janusz Konrad, Venkatesh Saligrama, Vincent Veilleux-Gaboury
2008	B	`conf`	Motion detection with false discovery rate control. ICIP J. Mike McHugh, Janusz Konrad, Venkatesh Saligrama, Pierre-Marc Jodoin, David A. Castañón
2008	B	`conf`	Motion segmentation and abnormal behavior detection via behavior clustering. ICIP Erhan Baki Ermis, Venkatesh Saligrama, Pierre-Marc Jodoin, Janusz Konrad
2008	—	`conf`	On Throughput Maximization and Interference Avoidance in Cognitive Radios. CCNC George K. Atia, Shuchin Aeron, Erhan Baki Ermis, Venkatesh Saligrama
2008	J	`jnl`	One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks. IEEE Trans. Signal Process. Ye Wang, Prakash Ishwar, Venkatesh Saligrama
2008	J	`jnl`	Thresholded Basis Pursuit: Quantizing Linear Programming Solutions for Optimal Support Recovery and Approximation in Compressed Sensing CoRR Venkatesh Saligrama, Manqi Zhao
2007	J	`jnl`	Distributed Detection in Sensor Networks with Limited Range Sensors CoRR Erhan Baki Ermis, Venkatesh Saligrama
2007	J	`jnl`	Distributed Tracking in Multihop Sensor Networks With Communication Delays. IEEE Trans. Signal Process. R. Rahman, Murat Alanyali, Venkatesh Saligrama
2007	J	`jnl`	On Optimal Outage in Relay Channels With General Fading Distributions. IEEE Trans. Inf. Theory George K. Atia, Masoud Sharif, Venkatesh Saligrama
2007	J	`jnl`	On sensing capacity of sensor networks for the class of linear observation, fixed SNR models CoRR Shuchin Aeron, Manqi Zhao, Venkatesh Saligrama
2007	J	`jnl`	One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks CoRR Ye Wang, Prakash Ishwar, Venkatesh Saligrama
2007	—	`conf`	Robust Distributed Detection with Limited Range Sensors. ICASSP (2) Erhan Baki Ermis, Venkatesh Saligrama
2007	J	`jnl`	Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime. IEEE Trans. Inf. Theory Shuchin Aeron, Venkatesh Saligrama
2006	Misc	`conf`	Detection and Localization in Sensor Networks Using Distributed FDR. CISS Erhan Baki Ermis, Venkatesh Saligrama
2006	J	`jnl`	Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links. IEEE Trans. Signal Process. Venkatesh Saligrama, Murat Alanyali, Onur Savas
2006	Misc	`conf`	Distributed Target tracking and localization in multi-hop networks. CISS Shuchin Aeron, Venkatesh Saligrama, David Castanon
2006	B	`conf`	Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels. GLOBECOM George K. Atia, Masoud Sharif, Venkatesh Saligrama
2006	B	`conf`	Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence. DCOSS Onur Savas, Murat Alanyali, Venkatesh Saligrama
2006	—	`conf`	Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks. CDC Shuchin Aeron, Venkatesh Saligrama, David A. Castañón
2006	B	`conf`	On the macroscopic effects of local interactions in multi-hop wireless networks. WiOpt Venkatesh Saligrama, David Starobinski
2006	Misc	`conf`	Randomized Sequential Algorithms for Data Aggregation in Sensor Networks. CISS Onur Savas, Murat Alanyali, Venkatesh Saligrama
2006	—	`conf`	Reliable Distributed Estimation with Intermittent Communications. CDC Venkatesh Saligrama, David A. Castañón
2006	—	`conf`	Reliable Tracking With Intermittent Communications. ICASSP (5) Venkatesh Saligrama, David A. Castañón
2006	J	`jnl`	Search and discovery in an uncertain networked world. IEEE Signal Process. Mag. Erhan Baki Ermis, Murat Alanyali, Venkatesh Saligrama
2006	J	`jnl`	Wireless ad-hoc networks: Strategies and Scaling laws for the fixed SNR regime CoRR Shuchin Aeron, Venkatesh Saligrama
2005	—	`conf`	Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena. ICASSP (5) Erhan Baki Ermis, Venkatesh Saligrama
2005	—	`conf`	Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena. IPSN Erhan Baki Ermis, Venkatesh Saligrama
2004	B	`conf`	Capacity scaling in wireless ad-hoc networks with P ISIT Shuchin Aeron, Venkatesh Saligrama
2004	B	`conf`	Classification in sensor networks. ISIT Venkatesh Saligrama, Murat Alanyali, Onur Savas, Shuchin Aeron
2004	C	`conf`	Distributed Bayesian hypothesis testing in sensor networks. ACC Murat Alanyali, Venkatesh Saligrama, Onur Savas, Shuchin Aeron
2004	J	`jnl`	Necessary and sufficient conditions for robust identification of uncertain LTI systems. Syst. Control. Lett. Venkatesh Saligrama
2004	—	`conf`	Performance guarantees in sensor networks. ICASSP (2) Venkatesh Saligrama, Yonggang Shi, William Clement Karl
2003	—	`conf`	Identification of uncertain systems described by linear fractional transformations. CDC Venkatesh Saligrama
2001	C	`conf`	Dynamic inverse optimization. ACC Sommer Gentry, Venkatesh Saligrama, Eric Feron