Venkatesh Saligrama

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 131

Top Venues

Publications

Ruizhao Zhu, Venkatesh Saligrama
Deep Companion Learning: Enhancing Generalization Through Historical Consistency. CoRR (2024)
Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott
Testing the Feasibility of Linear Programs with Bandit Feedback. CoRR (2024)
Samarth Mishra, Kate Saenko, Venkatesh Saligrama
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR (2024)
Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama
Safe Linear Bandits over Unknown Polytopes. COLT (2024)
Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama
Interpretable Compositional Representations for Robust Few-Shot Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. CoRR (2023)
Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama
Learning to Drive Anywhere. CoRL (2023)
Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Scaffolding a Student to Instill Knowledge. ICLR (2023)
Anil Kag, Igor Fedorov, Aditya Gangrade, Paul N. Whatmough, Venkatesh Saligrama
Efficient Edge Inference by Selective Query. ICLR (2023)
Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori D. Yamada, Vijaya Kolachalama, Venkatesh Saligrama
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. NeurIPS (2023)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. NeurIPS (2023)
Ruizhao Zhu, Peng Huang, Eshed Ohn-Bar, Venkatesh Saligrama
Learning to Drive Anywhere. CoRR (2023)
Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama
Fine-grained Few-shot Recognition by Deep Object Parsing. BMVC (2023)
Chen Chen, Dylan Walker, Venkatesh Saligrama
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction. CoRR (2023)
Chen Chen, Dylan Walker, Venkatesh Saligrama
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What" and Focus on the "How"! ACL (1) (2023)
Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama
Fine-grained Few-shot Recognition by Deep Object Parsing. CoRR (2022)
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
A Doubly Optimistic Strategy for Safe Linear Bandits. CoRR (2022)
Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama
Learning Compositional Representations for Effective Low-Shot Generalization. CoRR (2022)
Anil Kag, Venkatesh Saligrama
Condensing CNNs with Partial Differential Equations. CVPR (2022)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR (2022)
Durmus Alp Emre Acar, Venkatesh Saligrama
FedHeN: Federated Learning in Heterogeneous Networks. CoRR (2022)
Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
How Transferable are Video Representations Based on Synthetic Data? NeurIPS (2022)
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. ICML (2022)
Bhuvesh Kumar, Jacob D. Abernethy, Venkatesh Saligrama
ActiveHedge: Hedge meets Active Learning. ICML (2022)
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly L. Geyer, Venkatesh Saligrama, Brian Kulis
Faster Algorithms for Learning Convex Functions. ICML (2022)
Tianrui Chen, Aditya Gangrade, Venkatesh Saligrama
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk. CoRR (2022)
Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
Effectively Leveraging Attributes for Visual Similarity. CVPR Workshops (2021)
Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
Effectively Leveraging Attributes for Visual Similarity. CoRR (2021)
Anil Kag, Venkatesh Saligrama
Time Adaptive Recurrent Neural Network. CVPR (2021)
Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
Debiasing Model Updates for Improving Personalized Federated Training. ICML (2021)
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
Online Selective Classification with Limited Feedback. CoRR (2021)
Samarth Mishra, Kate Saenko, Venkatesh Saligrama
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC (2021)
Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
Effectively Leveraging Attributes for Visual Similarity. ICCV (2021)
Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama
Bandit Quickest Changepoint Detection. NeurIPS (2021)
Anil Kag, Venkatesh Saligrama
Training Recurrent Neural Networks via Forward Propagation Through Time. ICML (2021)
Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama
Memory Efficient Online Meta Learning. ICML (2021)
Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR (2021)
Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama
Online Selective Classification with Limited Feedback. NeurIPS (2021)
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Selective Classification via One-Sided Prediction. AISTATS (2021)
Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
Federated Learning Based on Dynamic Regularization. CoRR (2021)
Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
Bandit Quickest Changepoint Detection. CoRR (2021)
Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama
Federated Learning Based on Dynamic Regularization. ICLR (2021)
Samarth Mishra, Kate Saenko, Venkatesh Saligrama
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. CoRR (2021)
Ali Siahkamari, Durmus Alp Emre Acar, Christopher Liao, Kelly Geyer, Venkatesh Saligrama, Brian Kulis
Faster Convex Lipschitz Regression via 2-block ADMM. CoRR (2021)
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Piecewise Linear Regression via a Difference of Convex Functions. CoRR (2020)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Limits on Testing Structural Changes in Ising Models. CoRR (2020)
Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama
Low Dimensional Visual Attributes: An Interpretable Image Encoding. ICPR Workshops (3) (2020)
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Selective Classification via One-Sided Prediction. CoRR (2020)
Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama
Budget Learning via Bracketing. AISTATS (2020)
Anil Kag, Ziming Zhang, Venkatesh Saligrama
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR (2020)
Ali Siahkamari, Aditya Gangrade, Brian Kulis, Venkatesh Saligrama
Piecewise Linear Regression via a Difference of Convex Functions. ICML (2020)
Yao Ma, Alex Olshevsky, Csaba Szepesvári, Venkatesh Saligrama
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. J. Mach. Learn. Res. 21 (2020)
Venkatesh Saligrama, Alexander Olshevsky, Julien M. Hendrickx
Minimax Rank-$1$ Matrix Factorization. AISTATS (2020)
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. ICPR (2020)
Aditya Gangrade, Durmus Alp Emre Acar, Venkatesh Saligrama
Budget Learning via Bracketing. CoRR (2020)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Zero Shot Detection. IEEE Trans. Circuits Syst. Video Technol. 30 (4) (2020)
Yun Yue, Ming Li, Venkatesh Saligrama, Ziming Zhang
RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm. CoRR (2020)
Ali Siahkamari, Xide Xia, Venkatesh Saligrama, David A. Castañón, Brian Kulis
Learning to Approximate a Bregman Divergence. NeurIPS (2020)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. NeurIPS (2020)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sequential Selection with Contextual Information. CoRR (2020)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Limits on Testing Structural Changes in Ising Models. NeurIPS (2020)
Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model. ICML (2020)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Don't Even Look Once: Synthesizing Features for Zero-Shot Detection. CVPR (2020)
Julien M. Hendrickx, Alexander Olshevsky, Venkatesh Saligrama
Graph Resistance and Learning from Pairwise Comparisons. ICML (2019)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding. CVPR (2019)
Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama
Graph Resistance and Learning from Pairwise Comparisons. CoRR (2019)
Ziming Zhang, Anil Kag, Alan Sullivan, Venkatesh Saligrama
Equilibrated Recurrent Neural Network: Neuronal Time-Delayed Self-Feedback Improves Accuracy and Stability. CoRR (2019)
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations. ICCV (2019)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Learning for New Visual Environments with Limited Labels. CoRR (2019)
Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama
Robust Text Classifier on Test-Time Budgets. EMNLP/IJCNLP (1) (2019)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Learning Classifiers for Target Domain with Limited or No Labels. ICML (2019)
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models. NeurIPS (2019)
Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. CoRR (2019)
Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama
Cost aware Inference for IoT Devices. AISTATS (2019)
Ali Siahkamari, Venkatesh Saligrama, David Castanon, Brian Kulis
Learning Bregman Divergences. CoRR (2019)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection. CoRR (2019)
Yuting Chen, Joseph Wang, Yannan Bai, Gregory D. Castañón, Venkatesh Saligrama
Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs. IEEE Trans. Multim. 21 (3) (2019)
Don Kurian Dennis, Durmus Alp Emre Acar, Vikram Mandikal, Vinu Sankar Sadasivan, Venkatesh Saligrama, Harsha Vardhan Simhadri, Prateek Jain
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices. NeurIPS (2019)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sensor Selection. CoRR (2019)
Anil Kag, Ziming Zhang, Venkatesh Saligrama
RNNs Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? CoRR (2019)
Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Online Algorithm for Unsupervised Sensor Selection. AISTATS (2019)
Anelia Somekh-Baruch, Amir Leshem, Venkatesh Saligrama
On the Non-Existence of Unbiased Estimators in Constrained Estimation Problems. IEEE Trans. Inf. Theory 64 (8) (2018)
Yao Ma, Alexander Olshevsky, Csaba Szepesvári, Venkatesh Saligrama
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers. ICML (2018)
Ziming Zhang, Yun Liu, Xi Chen, Yanjun Zhu, Ming-Ming Cheng, Venkatesh Saligrama, Philip H. S. Torr
Sequential Optimization for Efficient High-Quality Object Proposal Generation. IEEE Trans. Pattern Anal. Mach. Intell. 40 (5) (2018)
Aditya Gangrade, Praveen Venkatesh, Bobak Nazer, Venkatesh Saligrama
Testing Changes in Communities for the Stochastic Block Model. CoRR (2018)
Pengkai Zhu, Hanxiao Wang, Tolga Bolukbasi, Venkatesh Saligrama
Zero-Shot Detection. CoRR (2018)
Hanxiao Wang, Venkatesh Saligrama, Stan Sclaroff, Vitaly Ablavsky
Learning Where to Fixate on Foveated Images. CoRR (2018)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Two-Sample Testing can be as Hard as Structure Learning in Ising Models: Minimax Lower Bounds. ICASSP (2018)
Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
Generalized Zero-Shot Recognition based on Visually Semantic Embedding. CoRR (2018)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Efficient Inference. ICML (2017)
Feng Nan, Venkatesh Saligrama
Adaptive Classification for Prediction Under a Budget. CoRR (2017)
Ziming Zhang, Venkatesh Saligrama
PRISM: Person Reidentification via Structured Matching. IEEE Trans. Circuits Syst. Video Technol. 27 (3) (2017)
Abhinav Ganesan, Sidharth Jaggi, Venkatesh Saligrama
Learning Immune-Defectives Graph Through Group Tests. IEEE Trans. Inf. Theory 63 (5) (2017)
Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama
Unsupervised Sequential Sensor Acquisition. AISTATS (2017)
Feng Nan, Venkatesh Saligrama
Comments on the proof of adaptive submodular function minimization. CoRR (2017)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Fast Test-Time Prediction. CoRR (2017)
Cem Aksoylar, George K. Atia, Venkatesh Saligrama
Sparse Signal Processing With Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach. IEEE Trans. Inf. Theory 63 (2) (2017)
Zafar Takhirov, Joseph Wang, Marcia S. Louis, Venkatesh Saligrama, Ajay Joshi
Field of Groves: An Energy-Efficient Random Forest. CoRR (2017)
Yao Ma, Alex Olshevsky, Venkatesh Saligrama, Csaba Szepesvári
Crowdsourcing with Sparsely Interacting Workers. CoRR (2017)
Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Venkatesh Saligrama