Dynamic inverse optimization. - Sommer Gentry; Venkatesh Saligrama; Eric Feron (ACC, 2001)

Identification of uncertain systems described by linear fractional transformations. - Venkatesh Saligrama (CDC, 2003)

Distributed Bayesian hypothesis testing in sensor networks. - Murat Alanyali; Venkatesh Saligrama; Onur Savas; Shuchin Aeron (ACC, 2004)

Performance guarantees in sensor networks. - Venkatesh Saligrama; Yonggang Shi; William Clement Karl (ICASSP (2), 2004)

Capacity scaling in wireless ad-hoc networks with Pe. - Shuchin Aeron; Venkatesh Saligrama (ISIT, 2004)

Classification in sensor networks. - Venkatesh Saligrama; Murat Alanyali; Onur Savas; Shuchin Aeron (ISIT, 2004)

Necessary and sufficient conditions for robust identification of uncertain LTI systems. - Venkatesh Saligrama (Syst. Control. Lett., 2004)

Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena. - Erhan Baki Ermis; Venkatesh Saligrama (ICASSP (5), 2005)

Energy Efficient Policies for Distributed Target Tracking in Multihop Sensor Networks. - Shuchin Aeron; Venkatesh Saligrama; David A. Castañón (CDC, 2006)

Reliable Distributed Estimation with Intermittent Communications. - Venkatesh Saligrama; David A. Castañón (CDC, 2006)

Distributed Target tracking and localization in multi-hop networks. - Shuchin Aeron; Venkatesh Saligrama; David Castanon (CISS, 2006)

Detection and Localization in Sensor Networks Using Distributed FDR. - Erhan Baki Ermis; Venkatesh Saligrama (CISS, 2006)

Randomized Sequential Algorithms for Data Aggregation in Sensor Networks. - Onur Savas; Murat Alanyali; Venkatesh Saligrama (CISS, 2006)

Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence. - Onur Savas; Murat Alanyali; Venkatesh Saligrama (DCOSS, 2006)

Effect of Geometry on the Diversity-Multiplexing Tradeoff in Relay Channels. - George K. Atia; Masoud Sharif; Venkatesh Saligrama (GLOBECOM, 2006)

Reliable Tracking With Intermittent Communications. - Venkatesh Saligrama; David A. Castañón (ICASSP (5), 2006)

On the macroscopic effects of local interactions in multi-hop wireless networks. - Venkatesh Saligrama; David Starobinski (WiOpt, 2006)

Search and discovery in an uncertain networked world. - Erhan Baki Ermis; Murat Alanyali; Venkatesh Saligrama (IEEE Signal Process. Mag., 2006)

Distributed Detection in Sensor Networks With Packet Losses and Finite Capacity Links. - Venkatesh Saligrama; Murat Alanyali; Onur Savas (IEEE Trans. Signal Process., 2006)

Robust Distributed Detection with Limited Range Sensors. - Erhan Baki Ermis; Venkatesh Saligrama (ICASSP (2), 2007)

On sensing capacity of sensor networks for the class of linear observation, fixed SNR models - Shuchin Aeron; Manqi Zhao; Venkatesh Saligrama (CoRR, 2007)

Distributed Detection in Sensor Networks with Limited Range Sensors - Erhan Baki Ermis; Venkatesh Saligrama (CoRR, 2007)

Wireless Ad Hoc Networks: Strategies and Scaling Laws for the Fixed SNR Regime. - Shuchin Aeron; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2007)

On Optimal Outage in Relay Channels With General Fading Distributions. - George K. Atia; Masoud Sharif; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2007)

Distributed Tracking in Multihop Sensor Networks With Communication Delays. - R. Rahman; Murat Alanyali; Venkatesh Saligrama (IEEE Trans. Signal Process., 2007)

Codes to unmask spectrum violators in cognitive radio systems. - George K. Atia; Venkatesh Saligrama; Anant Sahai (ACSCC, 2008)

Crime and Punishment for Cognitive Radios. - Kristen Ann Woyach; Anant Sahai; George K. Atia; Venkatesh Saligrama (Allerton, 2008)

On Throughput Maximization and Interference Avoidance in Cognitive Radios. - George K. Atia; Shuchin Aeron; Erhan Baki Ermis; Venkatesh Saligrama (CCNC, 2008)

Abnormal behavior detection and behavior matching for networked cameras. - Erhan Baki Ermis; Venkatesh Saligrama; Pierre-Marc Jodoin; Janusz Konrad (ICDSC, 2008)

Modeling background activity for behavior subtraction. - Pierre-Marc Jodoin; Janusz Konrad; Venkatesh Saligrama (ICDSC, 2008)

Motion segmentation and abnormal behavior detection via behavior clustering. - Erhan Baki Ermis; Venkatesh Saligrama; Pierre-Marc Jodoin; Janusz Konrad (ICIP, 2008)

Motion detection with an unstable camera. - Pierre-Marc Jodoin; Janusz Konrad; Venkatesh Saligrama; Vincent Veilleux-Gaboury (ICIP, 2008)

Motion detection with false discovery rate control. - J. Mike McHugh; Janusz Konrad; Venkatesh Saligrama; Pierre-Marc Jodoin; David A. Castañón (ICIP, 2008)

Fundamental Limits on Sensing Capacity for Sensor Networks and Compressed Sensing - Shuchin Aeron; Manqi Zhao; Venkatesh Saligrama (CoRR, 2008)

Deterministic Designs with Deterministic Guarantees: Toeplitz Compressed Sensing Matrices, Sequence Designs and System Identification - Venkatesh Saligrama (CoRR, 2008)

Distributed Detection in Sensor Networks with Limited Range Multi-Modal Sensors - Erhan Baki Ermis; Venkatesh Saligrama (CoRR, 2008)

Thresholded Basis Pursuit: Quantizing Linear Programming Solutions for Optimal Support Recovery and Approximation in Compressed Sensing - Venkatesh Saligrama; Manqi Zhao (CoRR, 2008)

Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks. - Shuchin Aeron; Venkatesh Saligrama; David A. Castañón (IEEE Trans. Signal Process., 2008)

One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks. - Ye Wang 001; Prakash Ishwar; Venkatesh Saligrama (IEEE Trans. Signal Process., 2008)

Noisy group testing: An information theoretic perspective. - George K. Atia; Venkatesh Saligrama (Allerton, 2009)

Outlier detection via localized p-value estimation. - Manqi Zhao; Venkatesh Saligrama (Allerton, 2009)

Abnormal events detection based on spatio-temporal co-occurences. - Yannick Benezeth; Pierre-Marc Jodoin; Venkatesh Saligrama; Christophe Rosenberger (CVPR, 2009)

Unsupervised camera network structure estimation based on activity. - Pierre Clarot; Erhan Baki Ermis; Pierre-Marc Jodoin; Venkatesh Saligrama (ICDSC, 2009)

Implicit Active-Contouring with MRF. - Pierre-Marc Jodoin; Venkatesh Saligrama; Janusz Konrad (ICIAR, 2009)

Anomaly Detection with Score functions based on Nearest Neighbor Graphs. - Manqi Zhao; Venkatesh Saligrama (NIPS, 2009)

A technical framework for light- handed regulation of cognitive radios. - Anant Sahai; Kristen Ann Woyach; George K. Atia; Venkatesh Saligrama (IEEE Commun. Mag., 2009)

Compressed Blind De-convolution - Venkatesh Saligrama; Manqi Zhao (CoRR, 2009)

Foreground-Adaptive Background Subtraction. - J. Mike McHugh; Janusz Konrad; Venkatesh Saligrama; Pierre-Marc Jodoin (IEEE Signal Process. Lett., 2009)

Decentralized compressive sensing. - Delaram Motamedvaziri; Venkatesh Saligrama; David Castanon (Allerton, 2010)

Markov group testing. - Joseph Wang 001; Venkatesh Saligrama; David A. Castañón (Allerton, 2010)

Noisy filtered sparse processes: Reconstruction and compression. - Manqi Zhao; Venkatesh Saligrama (CDC, 2010)

Revision of marginal probability assessments. - Peter B. Jones; Sanjoy K. Mitter; Venkatesh Saligrama (FUSION, 2010)

A new algorithm for outlier rejection in particle filters. - Rohit Kumar 001; David A. Castañón; Erhan Baki Ermis; Venkatesh Saligrama (FUSION, 2010)

Sparsity penalized reconstruction framework for broadband dispersion extraction. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero; Venkatesh Saligrama (ICASSP, 2010)

On compressed blind de-convolution of filtered sparse processes. - Manqi Zhao; Venkatesh Saligrama (ICASSP, 2010)

Probabilistic Belief Revision with Structural Constraints. - Peter B. Jones; Venkatesh Saligrama; Sanjoy K. Mitter (NIPS, 2010)

Video Anomaly Identification. - Venkatesh Saligrama; Janusz Konrad; Pierre-Marc Jodoin (IEEE Signal Process. Mag., 2010)

Activity Based Matching in Distributed Camera Networks. - Erhan Baki Ermis; Pierre Clarot; Pierre-Marc Jodoin; Venkatesh Saligrama (IEEE Trans. Image Process., 2010)

Information theoretic bounds for compressed sensing. - Shuchin Aeron; Venkatesh Saligrama; Manqi Zhao (IEEE Trans. Inf. Theory, 2010)

Distributed detection in sensor networks with limited range multimodal sensors. - Erhan Baki Ermis; Venkatesh Saligrama (IEEE Trans. Signal Process., 2010)

Non-adaptive probabilistic group testing with noisy measurements: Near-optimal bounds with efficient algorithms. - Chun Lam Chan; Pak Hou Che; Sidharth Jaggi; Venkatesh Saligrama (Allerton, 2011)

Sensing structure in learning-based binary classification of high-dimensional data. - Burkay Orten; Prakash Ishwar; William Clement Karl; Venkatesh Saligrama (Allerton, 2011)

Structural similarity and distance in learning. - Joseph Wang 001; Venkatesh Saligrama; David A. Castañón (Allerton, 2011)

Sensing-aware classification with high-dimensional data. - Burkay Orten; Prakash Ishwar; W. Clem Karl; Venkatesh Saligrama; Homer H. Pien (ICASSP, 2011)

A Token Based Algorithm to Distributed Computation in Sensor Networks - Venkatesh Saligrama; Murat Alanyali (CoRR, 2011)

Active Boosted Learning (ActBoost). - Kirill Trapeznikov; Venkatesh Saligrama; David A. Castañón (AISTATS, 2011)

A Token-Based Approach for Distributed Computation in Sensor Networks. - Venkatesh Saligrama; Murat Alanyali (IEEE J. Sel. Top. Signal Process., 2011)

Abnormality detection using low-level co-occurring events. - Yannick Benezeth; Pierre-Marc Jodoin; Venkatesh Saligrama (Pattern Recognit. Lett., 2011)

Thresholded Basis Pursuit: LP Algorithm for Order-Wise Optimal Support Recovery for Sparse and Approximately Sparse Signals From Noisy Random Measurements. - Venkatesh Saligrama; Manqi Zhao (IEEE Trans. Inf. Theory, 2011)

Broadband Dispersion Extraction Using Simultaneous Sparse Penalization. - Shuchin Aeron; Sandip Bose; Henri-Pierre Valero; Venkatesh Saligrama (IEEE Trans. Signal Process., 2011)

Real-Time Activity Search of Surveillance Video. - Greg Castañón; Venkatesh Saligrama; André-Louis Caron; Pierre-Marc Jodoin (AVSS, 2012)

Bayesian filtering without an observation model. - Peter B. Jones; Sanjoy K. Mitter; Venkatesh Saligrama (CDC, 2012)

Video anomaly detection based on local statistical aggregates. - Venkatesh Saligrama; Zhu Chen (CVPR, 2012)

Exploratory search of long surveillance videos. - Gregory D. Castañón; André-Louis Caron; Venkatesh Saligrama; Pierre-Marc Jodoin (ACM Multimedia, 2012)

Local Supervised Learning through Space Partitioning. - Joseph Wang 001; Venkatesh Saligrama (NIPS, 2012)

Sample complexity of salient feature identification for sparse signal processing. - Cem Aksoylar; George K. Atia; Venkatesh Saligrama (SSP, 2012)

A combined approach to multi-label multi-task learning. - Delaram Motamedvaziri; Venkatesh Saligrama; David A. Castañón (SSP, 2012)

New statistic in P-value estimation for anomaly detection. - Jing Qian; Venkatesh Saligrama (SSP, 2012)

Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals. - Zachary Sun; W. Clem Karl; Prakash Ishwar; Venkatesh Saligrama (SSP, 2012)

Two stage decision system. - Kirill Trapeznikov; Venkatesh Saligrama; David A. Castañón (SSP, 2012)

Graph-based Learning with Unbalanced Clusters - Jing Qian; Venkatesh Saligrama; Manqi Zhao (CoRR, 2012)

Cost Sensitive Sequential Classification - Kirill Trapeznikov; Venkatesh Saligrama; David A. Castañón (CoRR, 2012)

Local Anomaly Detection. - Venkatesh Saligrama; Manqi Zhao (AISTATS, 2012)

Behavior Subtraction. - Pierre-Marc Jodoin; Venkatesh Saligrama; Janusz Konrad (IEEE Trans. Image Process., 2012)

Boolean Compressed Sensing and Noisy Group Testing. - George K. Atia; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2012)

Graph-Constrained Group Testing. - Mahdi Cheraghchi; Amin Karbasi; Soheil Mohajer; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2012)

Aperiodic Sequences With Uniformly Decaying Correlations With Applications to Compressed Sensing and System Identification. - Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2012)

Locally-Linear Learning Machines (L3M). - Joseph Wang 001; Venkatesh Saligrama (ACML, 2013)

Dynamic topic discovery through sequential projections. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (ACSSC, 2013)

Supervised Sequential Classification Under Budget Constraints. - Kirill Trapeznikov; Venkatesh Saligrama (AISTATS, 2013)

Sparse signal recovery under Poisson statistics. - Delaram Motamedvaziri; Mohammad H. Rohban; Venkatesh Saligrama (Allerton, 2013)

Online local linear classification. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (CAMSAP, 2013)

User-assisted reflection detection and feature point tracking. - Mohamed A. Elgharib; François Pitié; Anil C. Kokaram; Venkatesh Saligrama (CVMP, 2013)

Compressive sensing bounds through a unifying framework for sparse models. - Cem Aksoylar; George K. Atia; Venkatesh Saligrama (ICASSP, 2013)

A new one-class SVM for anomaly detection. - Yuting Chen; Jing Qian; Venkatesh Saligrama (ICASSP, 2013)

A new geometric approach to latent topic modeling and discovery. - Weicong Ding; Mohammad H. Rohban; Prakash Ishwar; Venkatesh Saligrama (ICASSP, 2013)

Topic Discovery through Data Dependent and Random Projections. - Weicong Ding; Mohammad Hossein Rohban; Prakash Ishwar; Venkatesh Saligrama (ICML (3), 2013)

Sparse signal processing with linear and non-linear observations: A unified shannon theoretic approach. - Cem Aksoylar; George K. Atia; Venkatesh Saligrama (ITW, 2013)

Stochastic threshold group testing. - Chun Lam Chan; Sheng Cai; Mayank Bakshi; Sidharth Jaggi; Venkatesh Saligrama (ITW, 2013)

An impossibility result for high dimensional supervised learning. - Mohammad H. Rohban; Prakash Ishwar; Burkay Orten; William Clement Karl; Venkatesh Saligrama (ITW, 2013)

Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models. - Weicong Ding; Prakash Ishwar; Mohammad H. Rohban; Venkatesh Saligrama (CoRR, 2013)

Near-Optimal Stochastic Threshold Group Testing - Chun Lam Chan; Sheng Cai; Mayank Bakshi; Sidharth Jaggi; Venkatesh Saligrama (CoRR, 2013)

Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. - Venkatesh Saligrama; Ery Arias-Castro; Rama Chellappa; Alfred O. Hero III; Robert D. Nowak; Venugopal V. Veeravalli (IEEE J. Sel. Top. Signal Process., 2013)

Multi-stage classifier design. - Kirill Trapeznikov; Venkatesh Saligrama; David A. Castañón (Mach. Learn., 2013)

Information-Theoretic Characterization of Sparse Recovery. - Cem Aksoylar; Venkatesh Saligrama (AISTATS, 2014)

Efficient Distributed Topic Modeling with Provable Guarantees. - Weicong Ding; Mohammad H. Rohban; Prakash Ishwar; Venkatesh Saligrama (AISTATS, 2014)

Connected Sub-graph Detection. - Jing Qian; Venkatesh Saligrama; Yuting Chen (AISTATS, 2014)

An LP for Sequential Learning Under Budgets. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (AISTATS, 2014)

Model Selection by Linear Programming. - Joseph Wang 001; Tolga Bolukbasi; Kirill Trapeznikov; Venkatesh Saligrama (ECCV (2), 2014)

A Novel Visual Word Co-occurrence Model for Person Re-identification. - Ziming Zhang; Yuting Chen; Venkatesh Saligrama (ECCV Workshops (3), 2014)

Sensing-aware kernel SVM. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama; W. Clem Karl (ICASSP, 2014)

Sparse signal recovery under poisson statistics for online marketing applications. - Delaram Motamedvaziri; Mohammad Hossein Rohban; Venkatesh Saligrama (ICASSP, 2014)

Fast margin-based cost-sensitive classification. - Feng Nan; Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (ICASSP, 2014)

Spectral clustering with imbalanced data. - Jing Qian; Venkatesh Saligrama (ICASSP, 2014)

Anomalous cluster detection. - Jing Qian; Venkatesh Saligrama; Yuting Chen (ICASSP, 2014)

Information-theoretic bounds for adaptive sparse recovery. - Cem Aksoylar; Venkatesh Saligrama (ISIT, 2014)

Efficient Minimax Signal Detection on Graphs. - Jing Qian; Venkatesh Saligrama (NIPS, 2014)

Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data. - Cem Aksoylar; Venkatesh Saligrama (CoRR, 2014)

Non-Adaptive Group Testing with Inhibitors. - Abhinav Ganesan; Javad Ebrahimi; Sidharth Jaggi; Venkatesh Saligrama (CoRR, 2014)

Person Re-identification via Structured Prediction. - Ziming Zhang; Venkatesh Saligrama (CoRR, 2014)

Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms. - Chun Lam Chan; Sidharth Jaggi; Venkatesh Saligrama; Samar Agnihotri (IEEE Trans. Inf. Theory, 2014)

A Topic Modeling Approach to Ranking. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (AISTATS, 2015)

Learning Efficient Anomaly Detectors from K-NN Graphs. - Jonathan Root; Jing Qian; Venkatesh Saligrama (AISTATS, 2015)

Cost effective algorithms for spectral bandits. - Manjesh Kumar Hanawal; Venkatesh Saligrama (Allerton, 2015)

Learning shared rankings from mixtures of noisy pairwise comparisons. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (ICASSP, 2015)

Efficient detection and localization on graph structured data. - Manjesh Kumar Hanawal; Venkatesh Saligrama (ICASSP, 2015)

Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization. - Ziming Zhang; Venkatesh Saligrama (ICASSP, 2015)

Group Membership Prediction. - Ziming Zhang; Yuting Chen; Venkatesh Saligrama (ICCV, 2015)

Zero-Shot Learning via Semantic Similarity Embedding. - Ziming Zhang; Venkatesh Saligrama (ICCV, 2015)

Cheap Bandits. - Manjesh Kumar Hanawal; Venkatesh Saligrama; Michal Valko; Rémi Munos (ICML, 2015)

Feature-Budgeted Random Forest. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (ICML, 2015)

Most large topic models are approximately separable. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (ITA, 2015)

Non-adaptive group testing with inhibitors. - Abhinav Ganesan; Sidharth Jaggi; Venkatesh Saligrama (ITW, 2015)

Efficient Activity Retrieval through Semantic Graph Queries. - Gregory D. Castañón; Yuting Chen; Ziming Zhang; Venkatesh Saligrama (ACM Multimedia, 2015)

Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (NIPS, 2015)

Learning Mixed Membership Mallows Models from Pairwise Comparisons. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (CoRR, 2015)

Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (CoRR, 2015)

Algorithms for Linear Bandits on Polyhedral Sets. - Manjesh Kumar Hanawal; Amir Leshem; Venkatesh Saligrama (CoRR, 2015)

Max-Cost Discrete Function Evaluation Problem under a Budget. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (CoRR, 2015)

Sensor Selection by Linear Programming. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (CoRR, 2015)

Supervised Hashing with Deep Neural Networks. - Ziming Zhang; Yuting Chen; Venkatesh Saligrama (CoRR, 2015)

BING++: A Fast High Quality Object Proposal Generator at 100fps. - Ziming Zhang; Yun Liu 011; Tolga Bolukbasi; Ming-Ming Cheng; Venkatesh Saligrama (CoRR, 2015)

Classifying Unseen Instances by Learning Class-Independent Similarity Functions. - Ziming Zhang; Venkatesh Saligrama (CoRR, 2015)

Prediction of hospitalization due to heart diseases by supervised learning methods. - Wuyang Dai; Theodora S. Brisimi; William G. Adams; Theofanie Mela; Venkatesh Saligrama; Ioannis Ch. Paschalidis (Int. J. Medical Informatics, 2015)

Correction to "Boolean Compressed Sensing and Noisy Group Testing". - George K. Atia; Venkatesh Saligrama; Cem Aksoylar (IEEE Trans. Inf. Theory, 2015)

A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera. - Huanyu Ding; Eric Cristofalo; Joseph Wang 001; David A. Castañón; Eduardo Montijano; Venkatesh Saligrama; Mac Schwager (ACC, 2016)

Efficient Training of Very Deep Neural Networks for Supervised Hashing. - Ziming Zhang; Yuting Chen; Venkatesh Saligrama (CVPR, 2016)

Zero-Shot Learning via Joint Latent Similarity Embedding. - Ziming Zhang; Venkatesh Saligrama (CVPR, 2016)

Zero-Shot Recognition via Structured Prediction. - Ziming Zhang; Venkatesh Saligrama (ECCV (7), 2016)

Efficient algorithms for linear polyhedral bandits. - Manjesh Kumar Hanawal; Amir Leshem; Venkatesh Saligrama (ICASSP, 2016)

Energy-Efficient Adaptive Classifier Design for Mobile Systems. - Zafar Takhirov; Joseph Wang 001; Venkatesh Saligrama; Ajay Joshi (ISLPED, 2016)

Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings. - Tolga Bolukbasi; Kai-Wei Chang; James Y. Zou; Venkatesh Saligrama; Adam Tauman Kalai (NIPS, 2016)

Pruning Random Forests for Prediction on a Budget. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (NIPS, 2016)

Structured Prediction with Test-time Budget Constraints. - Tolga Bolukbasi; Kai-Wei Chang; Joseph Wang 001; Venkatesh Saligrama (CoRR, 2016)

Quantifying and Reducing Stereotypes in Word Embeddings. - Tolga Bolukbasi; Kai-Wei Chang; James Y. Zou; Venkatesh Saligrama; Adam Tauman Kalai (CoRR, 2016)

Sequential Learning without Feedback. - Manjesh Kumar Hanawal; Csaba Szepesvári; Venkatesh Saligrama (CoRR, 2016)

Optimally Pruning Decision Tree Ensembles With Feature Cost. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (CoRR, 2016)

Learning Minimum Volume Sets and Anomaly Detectors from KNN Graphs. - Jonathan Root; Venkatesh Saligrama; Jing Qian (CoRR, 2016)

Learning Joint Feature Adaptation for Zero-Shot Recognition. - Ziming Zhang; Venkatesh Saligrama (CoRR, 2016)

A Provably Efficient Algorithm for Separable Topic Discovery. - Weicong Ding; Prakash Ishwar; Venkatesh Saligrama (IEEE J. Sel. Top. Signal Process., 2016)

Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. - Greg Castañón; Mohamed A. Elgharib; Venkatesh Saligrama; Pierre-Marc Jodoin (IEEE Trans. Circuits Syst. Video Technol., 2016)

Guest Editorial Inference and Learning over Networks. - Vincenzo Matta; Cédric Richard; Venkatesh Saligrama; Ali H. Sayed (IEEE Trans. Signal Inf. Process. over Networks, 2016)

Minimax Optimal Sparse Signal Recovery With Poisson Statistics. - Mohammad Hossein Rohban; Venkatesh Saligrama; Delaram Motamed Vaziri (IEEE Trans. Signal Process., 2016)

Resource Constrained Structured Prediction. - Tolga Bolukbasi; Kai-Wei Chang; Joseph Wang 001; Venkatesh Saligrama (AAAI, 2017)

Unsupervised Sequential Sensor Acquisition. - Manjesh Kumar Hanawal; Csaba Szepesvári; Venkatesh Saligrama (AISTATS, 2017)

Lower bounds for two-sample structural change detection in ising and Gaussian models. - Aditya Gangrade; Bobak Nazer; Venkatesh Saligrama (Allerton, 2017)

Connected Subgraph Detection with Mirror Descent on SDPs. - Cem Aksoylar; Lorenzo Orecchia; Venkatesh Saligrama (ICML, 2017)

Adaptive Neural Networks for Efficient Inference. - Tolga Bolukbasi; Joseph Wang 001; Ofer Dekel; Venkatesh Saligrama (ICML, 2017)

Adaptive Classification for Prediction Under a Budget. - Feng Nan; Venkatesh Saligrama (NIPS, 2017)

Adaptive Neural Networks for Fast Test-Time Prediction. - Tolga Bolukbasi; Joseph Wang 001; Ofer Dekel; Venkatesh Saligrama (CoRR, 2017)

Crowdsourcing with Sparsely Interacting Workers. - Yao Ma; Alex Olshevsky; Venkatesh Saligrama; Csaba Szepesvári (CoRR, 2017)

Dynamic Model Selection for Prediction Under a Budget. - Feng Nan; Venkatesh Saligrama (CoRR, 2017)

Comments on the proof of adaptive submodular function minimization. - Feng Nan; Venkatesh Saligrama (CoRR, 2017)

Field of Groves: An Energy-Efficient Random Forest. - Zafar Takhirov; Joseph Wang 001; Marcia S. Louis; Venkatesh Saligrama; Ajay Joshi (CoRR, 2017)

Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. - Henghui Zhu; Feng Nan; Ioannis Ch. Paschalidis; Venkatesh Saligrama (CoRR, 2017)

PRISM: Person Reidentification via Structured Matching. - Ziming Zhang; Venkatesh Saligrama (IEEE Trans. Circuits Syst. Video Technol., 2017)

Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. - Cem Aksoylar; George K. Atia; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2017)

Learning Immune-Defectives Graph Through Group Tests. - Abhinav Ganesan; Sidharth Jaggi; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2017)

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". - Feng Nan; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2017)

Clustering and Community Detection With Imbalanced Clusters. - Cem Aksoylar; Jing Qian; Venkatesh Saligrama (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds. - Aditya Gangrade; Bobak Nazer; Venkatesh Saligrama (ICASSP, 2018)

Zero-Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Tolga Bolukbasi; Venkatesh Saligrama (CoRR, 2018)

Learning Where to Fixate on Foveated Images. - Hanxiao Wang 001; Venkatesh Saligrama; Stan Sclaroff; Vitaly Ablavsky (CoRR, 2018)

Testing Changes in Communities for the Stochastic Block Model. - Aditya Gangrade; Praveen Venkatesh; Bobak Nazer; Venkatesh Saligrama (CoRR, 2018)

Sequential Optimization for Efficient High-Quality Object Proposal Generation. - Ziming Zhang; Yun Liu 011; Xi Chen; Yanjun Zhu; Ming-Ming Cheng; Venkatesh Saligrama; Philip H. S. Torr (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. - Anelia Somekh-Baruch; Amir Leshem; Venkatesh Saligrama (IEEE Trans. Inf. Theory, 2018)

Online Algorithm for Unsupervised Sensor Selection. - Arun Verma; Manjesh Kumar Hanawal; Csaba Szepesvári; Venkatesh Saligrama (AISTATS, 2019)

Cost aware Inference for IoT Devices. - Pengkai Zhu; Durmus Alp Emre Acar; Nan Feng; Prateek Jain 002; Venkatesh Saligrama (AISTATS, 2019)

Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CVPR, 2019)

Robust Text Classifier on Test-Time Budgets. - Md. Rizwan Parvez; Tolga Bolukbasi; Kai-Wei Chang; Venkatesh Saligrama (EMNLP/IJCNLP (1), 2019)

Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. - Hanxiao Wang 001; Venkatesh Saligrama; Stan Sclaroff; Vitaly Ablavsky (ICCV, 2019)

Graph Resistance and Learning from Pairwise Comparisons. - Julien M. Hendrickx; Alexander Olshevsky; Venkatesh Saligrama (ICML, 2019)

Learning Classifiers for Target Domain with Limited or No Labels. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (ICML, 2019)

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. - Don Kurian Dennis; Durmus Alp Emre Acar; Vikram Mandikal; Vinu Sankar Sadasivan; Venkatesh Saligrama; Harsha Vardhan Simhadri; Prateek Jain 002 (NeurIPS, 2019)

Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. - Aditya Gangrade; Praveen Venkatesh; Bobak Nazer; Venkatesh Saligrama (NeurIPS, 2019)

Learning for New Visual Environments with Limited Labels. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CoRR, 2019)

Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. - Ziming Zhang; Anil Kag; Alan Sullivan; Venkatesh Saligrama (CoRR, 2019)

Learning Bregman Divergences. - Ali Siahkamari; Venkatesh Saligrama; David Castanon; Brian Kulis (CoRR, 2019)

RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? - Anil Kag; Ziming Zhang; Venkatesh Saligrama (CoRR, 2019)

Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CoRR, 2019)

Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs. - Yuting Chen; Joseph Wang 001; Yannan Bai; Gregory D. Castañón; Venkatesh Saligrama (IEEE Trans. Multim., 2019)

Budget Learning via Bracketing. - Durmus Alp Emre Acar; Aditya Gangrade; Venkatesh Saligrama (AISTATS, 2020)

Minimax Rank-$1$ Matrix Factorization. - Venkatesh Saligrama; Alexander Olshevsky; Julien M. Hendrickx (AISTATS, 2020)

Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (CVPR, 2020)

RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? - Anil Kag; Ziming Zhang; Venkatesh Saligrama (ICLR, 2020)

Minimax Rate for Learning From Pairwise Comparisons in the BTL Model. - Julien M. Hendrickx; Alex Olshevsky; Venkatesh Saligrama (ICML, 2020)

Piecewise Linear Regression via a Difference of Convex Functions. - Ali Siahkamari; Aditya Gangrade; Brian Kulis; Venkatesh Saligrama (ICML, 2020)

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. - Yun Yue; Ming Li; Venkatesh Saligrama; Ziming Zhang (ICPR, 2020)

Low Dimensional Visual Attributes: An Interpretable Image Encoding. - Pengkai Zhu; Ruizhao Zhu; Samarth Mishra; Venkatesh Saligrama (ICPR Workshops (3), 2020)

Limits on Testing Structural Changes in Ising Models. - Aditya Gangrade; Bobak Nazer; Venkatesh Saligrama (NeurIPS, 2020)

Learning to Approximate a Bregman Divergence. - Ali Siahkamari; Xide Xia; Venkatesh Saligrama; David A. Castañón; Brian Kulis (NeurIPS, 2020)

Online Algorithm for Unsupervised Sequential Selection with Contextual Information. - Arun Verma; Manjesh Kumar Hanawal; Csaba Szepesvári; Venkatesh Saligrama (NeurIPS, 2020)

Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. - Yao Ma; Alex Olshevsky; Csaba Szepesvári; Venkatesh Saligrama (J. Mach. Learn. Res., 2020)

Zero Shot Detection. - Pengkai Zhu; Hanxiao Wang 001; Venkatesh Saligrama (IEEE Trans. Circuits Syst. Video Technol., 2020)

Selective Classification via One-Sided Prediction. - Aditya Gangrade; Anil Kag; Venkatesh Saligrama (AISTATS, 2021)

Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. - Samarth Mishra; Kate Saenko; Venkatesh Saligrama (BMVC, 2021)

Time Adaptive Recurrent Neural Network. - Anil Kag; Venkatesh Saligrama (CVPR, 2021)

Effectively Leveraging Attributes for Visual Similarity. - Samarth Mishra; Zhongping Zhang; Yuan Shen 001; Ranjitha Kumar; Venkatesh Saligrama; Bryan A. Plummer (CVPR Workshops, 2021)

Federated Learning Based on Dynamic Regularization. - Durmus Alp Emre Acar; Yue Zhao; Ramon Matas Navarro; Matthew Mattina; Paul N. Whatmough; Venkatesh Saligrama (ICLR, 2021)

Memory Efficient Online Meta Learning. - Durmus Alp Emre Acar; Ruizhao Zhu; Venkatesh Saligrama (ICML, 2021)

Debiasing Model Updates for Improving Personalized Federated Training. - Durmus Alp Emre Acar; Yue Zhao; Ruizhao Zhu; Ramon Matas Navarro; Matthew Mattina; Paul N. Whatmough; Venkatesh Saligrama (ICML, 2021)

Training Recurrent Neural Networks via Forward Propagation Through Time. - Anil Kag; Venkatesh Saligrama (ICML, 2021)

Online Selective Classification with Limited Feedback. - Aditya Gangrade; Anil Kag; Ashok Cutkosky; Venkatesh Saligrama (NeurIPS, 2021)

Bandit Quickest Changepoint Detection. - Aditya Gopalan; Braghadeesh Lakshminarayanan; Venkatesh Saligrama (NeurIPS, 2021)

Faster Convex Lipschitz Regression via 2-block ADMM. - Ali Siahkamari; Durmus Alp Emre Acar; Christopher Liao; Kelly Geyer; Venkatesh Saligrama; Brian Kulis (CoRR, 2021)

Condensing CNNs with Partial Differential Equations. - Anil Kag; Venkatesh Saligrama (CVPR, 2022)

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. - Samarth Mishra; Rameswar Panda; Cheng Perng Phoo; Chun-Fu Richard Chen; Leonid Karlinsky; Kate Saenko; Venkatesh Saligrama; Rogério Schmidt Feris (CVPR, 2022)

Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. - Tianrui Chen; Aditya Gangrade; Venkatesh Saligrama (ICML, 2022)

ActiveHedge: Hedge meets Active Learning. - Bhuvesh Kumar; Jacob D. Abernethy; Venkatesh Saligrama (ICML, 2022)

Faster Algorithms for Learning Convex Functions. - Ali Siahkamari; Durmus Alp Emre Acar; Christopher Liao; Kelly L. Geyer; Venkatesh Saligrama; Brian Kulis (ICML, 2022)

How Transferable are Video Representations Based on Synthetic Data? - Yo-whan Kim; Samarth Mishra; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Kate Saenko; Aude Oliva; Rogério Feris (NeurIPS, 2022)

Learning Compositional Representations for Effective Low-Shot Generalization. - Samarth Mishra; Pengkai Zhu; Venkatesh Saligrama (CoRR, 2022)

FedHeN: Federated Learning in Heterogeneous Networks. - Durmus Alp Emre Acar; Venkatesh Saligrama (CoRR, 2022)

A Doubly Optimistic Strategy for Safe Linear Bandits. - Tianrui Chen; Aditya Gangrade; Venkatesh Saligrama (CoRR, 2022)

Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"! - Chen Chen 121; Dylan Walker; Venkatesh Saligrama (ACL (1), 2023)

Fine-grained Few-shot Recognition by Deep Object Parsing. - Ruizhao Zhu; Pengkai Zhu; Samarth Mishra; Venkatesh Saligrama (BMVC, 2023)

Learning to Drive Anywhere. - Ruizhao Zhu; Peng Huang; Eshed Ohn-Bar; Venkatesh Saligrama (CoRL, 2023)

Scaffolding a Student to Instill Knowledge. - Anil Kag; Durmus Alp Emre Acar; Aditya Gangrade; Venkatesh Saligrama (ICLR, 2023)

Efficient Edge Inference by Selective Query. - Anil Kag; Igor Fedorov; Aditya Gangrade; Paul N. Whatmough; Venkatesh Saligrama (ICLR, 2023)

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Ziming Zhang; Songlin Hou; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (NeurIPS, 2023)

Learning Human Action Recognition Representations Without Real Humans. - Howard Zhong; Samarth Mishra; Donghyun Kim 006; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Aude Oliva; Rogério Feris (NeurIPS, 2023)

Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction. - Chen Chen 121; Dylan Walker; Venkatesh Saligrama (CoRR, 2023)

Safe Linear Bandits over Unknown Polytopes. - Aditya Gangrade; Tianrui Chen; Venkatesh Saligrama (COLT, 2024)

Testing the Feasibility of Linear Programs with Bandit Feedback. - Aditya Gangrade; Aditya Gopalan; Venkatesh Saligrama; Clayton Scott (ICML, 2024)

SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. - Samarth Mishra; Kate Saenko; Venkatesh Saligrama (CoRR, 2024)

Deep Companion Learning: Enhancing Generalization Through Historical Consistency. - Ruizhao Zhu; Venkatesh Saligrama (CoRR, 2024)

Interpretable Compositional Representations for Robust Few-Shot Generalization. - Samarth Mishra; Pengkai Zhu; Venkatesh Saligrama (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. - Kevin Miller; Aditya Gangrade; Samarth Mishra; Kate Saenko; Venkatesh Saligrama (CVPR, 2025)

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. - Ziming Zhang; Fangzhou Lin; Haotian Liu; Jose Morales; Haichong Zhang; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (ICLR, 2025)

Constrained Linear Thompson Sampling. - Aditya Gangrade; Venkatesh Saligrama (CoRR, 2025)

Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data. - Samarth Mishra; Kate Saenko; Venkatesh Saligrama (CoRR, 2025)

BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning. - Shengao Wang; Arjun Chandra; Aoming Liu; Venkatesh Saligrama; Boqing Gong (CoRR, 2025)