Visible to the public Biblio

Found 175 results

Filters: Author is Venkatesh Saligrama  [Clear All Filters]
2018-05-27
Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri.  2016.  Minimax Optimal Sparse Signal Recovery With Poisson Statistics. {IEEE} Trans. Signal Processing. 64:3495–3508.
Vincenzo Matta, Cédric Richard, Venkatesh Saligrama, Ali H. Sayed.  2016.  Guest Editorial Inference and Learning over Networks. {IEEE} Trans. Signal and Information Processing over Networks. 2:423–425.
Greg Castañón, Mohamed A. Elgharib, Venkatesh Saligrama, Pierre{-}Marc Jodoin.  2016.  Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes. {IEEE} Trans. Circuits Syst. Video Techn.. 26:2313–2327.
Weicong Ding, Prakash Ishwar, Venkatesh Saligrama.  2016.  A Provably Efficient Algorithm for Separable Topic Discovery. J. Sel. Topics Signal Processing. 10:712–725.
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama.  2017.  Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models. CoRR. abs/1710.10366
Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári.  2017.  Crowdsourcing with Sparsely Interacting Workers. CoRR. abs/1706.06660
Henghui Zhu, Feng Nan, Ioannis Ch. Paschalidis, Venkatesh Saligrama.  2017.  Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget. CoRR. abs/1705.10924
Feng Nan, Venkatesh Saligrama.  2017.  Adaptive Classification for Prediction Under a Budget. CoRR. abs/1705.10194
Feng Nan, Venkatesh Saligrama.  2017.  Comments on the proof of adaptive submodular function minimization. CoRR. abs/1705.03771
Feng Nan, Venkatesh Saligrama.  2017.  Dynamic Model Selection for Prediction Under a Budget. CoRR. abs/1704.07505
Zafar Takhirov, Joseph Wang, Marcia S. Louis, Venkatesh Saligrama, Ajay Joshi.  2017.  Field of Groves: An Energy-Efficient Random Forest. CoRR. abs/1704.02978
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama.  2017.  Adaptive Neural Networks for Fast Test-Time Prediction. CoRR. abs/1702.07811
Cem Aksoylar, Jing Qian, Venkatesh Saligrama.  2017.  Clustering and Community Detection With Imbalanced Clusters. {IEEE} Trans. Signal and Information Processing over Networks. 3:61–76.
Feng Nan, Venkatesh Saligrama.  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". {IEEE} Trans. Information Theory. 63:7612–7614.
Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama.  2017.  Learning Immune-Defectives Graph Through Group Tests. {IEEE} Trans. Information Theory. 63:3010–3028.
Ziming Zhang, Venkatesh Saligrama.  2017.  PRISM: Person Reidentification via Structured Matching. {IEEE} Trans. Circuits Syst. Video Techn.. 27:499–512.
2018-05-17
Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama.  Submitted.  An LP for Sequential Learning Under Budgets. {AISTATS}. 33:987–995.
Manjesh Hanawal, Venkatesh Saligrama, Michal Valko, Remi Munos.  2015.  Cheap Bandits. Proceedings of the 32nd International Conference on Machine Learning. 37:2133–2142.
Feng Nan, Joseph Wang, Venkatesh Saligrama.  2015.  Feature-Budgeted Random Forest. Proceedings of the 32nd International Conference on Machine Learning. 37:1983–1991.
Feng Nan, Joseph Wang, Venkatesh Saligrama.  2016.  Pruning Random Forests for Prediction on a Budget. {NIPS}. :2334–2342.
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama.  2017.  Adaptive Neural Networks for Efficient Inference. {ICML}. 70:527–536.
Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama.  2017.  Connected Subgraph Detection with Mirror Descent on SDPs. {ICML}. 70:51–59.
Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama.  2017.  Unsupervised Sequential Sensor Acquisition. {AISTATS}. 54:803–811.
Tolga Bolukbasi, Kai{-}Wei Chang, Joseph Wang, Venkatesh Saligrama.  2017.  Resource Constrained Structured Prediction. {AAAI}. :1756–1762.
Cem Aksoylar, George K. Atia, Venkatesh Saligrama.  2017.  Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. {IEEE} Trans. Information Theory. 63:749–776.