Saligrama, Venkatesh

84 publications

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

NeurIPS 2025 Constrained Linear Thompson Sampling Aditya Gangrade, Venkatesh Saligrama

ICML 2025 Feasible Action Search for Bandit Linear Programs via Thompson Sampling Aditya Gangrade, Aldo Pacchiano, Clayton Scott, Venkatesh Saligrama

ICLR 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 Yamada, Vijaya B Kolachalama, Venkatesh Saligrama

NeurIPS 2025 Linear Transformers Implicitly Discover Unified Numerical Algorithms Patrick Lutz, Aditya Gangrade, Hadi Daneshmand, Venkatesh Saligrama

CVPR 2025 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

ECCV 2024 Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu, Venkatesh Saligrama

COLT 2024 Safe Linear Bandits over Unknown Polytopes Aditya Gangrade, Tianrui Chen, Venkatesh Saligrama

ICML 2024 Testing the Feasibility of Linear Programs with Bandit Feedback Aditya Gangrade, Aditya Gopalan, Venkatesh Saligrama, Clayton Scott

ICLR 2023 Efficient Edge Inference by Selective Query Anil Kag, Igor Fedorov, Aditya Gangrade, Paul Whatmough, Venkatesh Saligrama

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

NeurIPS 2023 Learning Human Action Recognition Representations Without Real Humans Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogerio Feris

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

ICLR 2023 Scaffolding a Student to Instill Knowledge Anil Kag, Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

ICML 2022 ActiveHedge: Hedge Meets Active Learning Bhuvesh Kumar, Jacob D Abernethy, Venkatesh Saligrama

CVPR 2022 Condensing CNNs with Partial Differential Equations Anil Kag, 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

NeurIPS 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, Rogerio Feris

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

CVPR 2022 Task2Sim: Towards Effective Pre-Training and Transfer from Synthetic Data Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogerio S. Feris

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

NeurIPS 2021 Bandit Quickest Changepoint Detection Aditya Gopalan, Braghadeesh Lakshminarayanan, Venkatesh Saligrama

ICML 2021 Debiasing Model Updates for Improving Personalized Federated Training Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas, Matthew Mattina, Paul Whatmough, Venkatesh Saligrama

ICCV 2021 Effectively Leveraging Attributes for Visual Similarity Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer

CVPRW 2021 Effectively Leveraging Attributes for Visual Similarity Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer

ICLR 2021 Federated Learning Based on Dynamic Regularization Durmus Alp Emre Acar, Yue Zhao, Ramon Matas, Matthew Mattina, Paul Whatmough, Venkatesh Saligrama

ICML 2021 Memory Efficient Online Meta Learning Durmus Alp Emre Acar, Ruizhao Zhu, Venkatesh Saligrama

NeurIPS 2021 Online Selective Classification with Limited Feedback Aditya Gangrade, Anil Kag, Ashok Cutkosky, Venkatesh Saligrama

NeurIPSW 2021 Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency Samarth Mishra, Kate Saenko, Venkatesh Saligrama

CVPR 2021 Time Adaptive Recurrent Neural Network Anil Kag, Venkatesh Saligrama

ICML 2021 Training Recurrent Neural Networks via Forward Propagation Through Time Anil Kag, Venkatesh Saligrama

AISTATS 2020 Budget Learning via Bracketing Durmus Alp Emre Acar, Aditya Gangrade, Venkatesh Saligrama

JMLR 2020 Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers Yao Ma, Alex Olshevsky, Csaba Szepesvari, Venkatesh Saligrama

NeurIPS 2020 Learning to Approximate a Bregman Divergence Ali Siahkamari, Xide Xia, Venkatesh Saligrama, David Castañón, Brian Kulis

NeurIPS 2020 Limits on Testing Structural Changes in Ising Models Aditya Gangrade, Bobak Nazer, Venkatesh Saligrama

AISTATS 2020 Minimax Rank-$1$ Matrix Factorization Venkatesh Saligrama, Alexander Olshevsky, Julien Hendrickx

ICML 2020 Minimax Rate for Learning from Pairwise Comparisons in the BTL Model Julien Hendrickx, Alex Olshevsky, Venkatesh Saligrama

NeurIPS 2020 Online Algorithm for Unsupervised Sequential Selection with Contextual Information Arun Verma, Manjesh Kumar Hanawal, Csaba Szepesvari, Venkatesh Saligrama

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

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

AISTATS 2019 Cost Aware Inference for IoT Devices Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng, Prateek Jain, Venkatesh Saligrama

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

ICML 2019 Graph Resistance and Learning from Pairwise Comparisons Julien Hendrickx, Alexander Olshevsky, Venkatesh Saligrama

ICML 2019 Learning Classifiers for Target Domain with Limited or No Labels Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama

AISTATS 2019 Online Algorithm for Unsupervised Sensor Selection Arun Verma, Manjesh Hanawal, Csaba Szepesvari, Venkatesh Saligrama

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

ICML 2018 Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers Yao Ma, Alexander Olshevsky, Csaba Szepesvari, Venkatesh Saligrama

NeurIPS 2017 Adaptive Classification for Prediction Under a Budget Feng Nan, Venkatesh Saligrama

ICML 2017 Adaptive Neural Networks for Efficient Inference Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama

ICML 2017 Connected Subgraph Detection with Mirror Descent on SDPs Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama

AAAI 2017 Resource Constrained Structured Prediction Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama

AISTATS 2017 Unsupervised Sequential Sensor Acquisition Manjesh Kumar Hanawal, Csaba Szepesvári, Venkatesh Saligrama

CVPR 2016 Efficient Training of Very Deep Neural Networks for Supervised Hashing Ziming Zhang, Yuting Chen, Venkatesh Saligrama

NeurIPS 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 T Kalai

NeurIPS 2016 Pruning Random Forests for Prediction on a Budget Feng Nan, Joseph Wang, Venkatesh Saligrama

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

ECCV 2016 Zero-Shot Recognition via Structured Prediction Ziming Zhang, Venkatesh Saligrama

AISTATS 2015 A Topic Modeling Approach to Ranking Weicong Ding, Prakash Ishwar, Venkatesh Saligrama

ICML 2015 Cheap Bandits Manjesh Hanawal, Venkatesh Saligrama, Michal Valko, Remi Munos

NeurIPS 2015 Efficient Learning by Directed Acyclic Graph for Resource Constrained Prediction Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

ICML 2015 Feature-Budgeted Random Forest Feng Nan, Joseph Wang, Venkatesh Saligrama

ICCV 2015 Group Membership Prediction Ziming Zhang, Yuting Chen, Venkatesh Saligrama

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

ICCV 2015 Zero-Shot Learning via Semantic Similarity Embedding Ziming Zhang, Venkatesh Saligrama

ECCV 2014 A Novel Visual Word Co-Occurrence Model for Person Re-Identification Ziming Zhang, Yuting Chen, Venkatesh Saligrama

ECCVW 2014 A Novel Visual Word Co-Occurrence Model for Person Re-Identification Ziming Zhang, Yuting Chen, Venkatesh Saligrama

AISTATS 2014 An LP for Sequential Learning Under Budgets Joseph Wang, Kirill Trapeznikov, Venkatesh Saligrama

AISTATS 2014 Connected Sub-Graph Detection Jing Qian, Venkatesh Saligrama, Yuting Chen

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

NeurIPS 2014 Efficient Minimax Signal Detection on Graphs Jing Qian, Venkatesh Saligrama

AISTATS 2014 Information-Theoretic Characterization of Sparse Recovery Cem Aksoylar, Venkatesh Saligrama

ECCV 2014 Model Selection by Linear Programming Joseph Wang, Tolga Bolukbasi, Kirill Trapeznikov, Venkatesh Saligrama

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

MLJ 2013 Multi-Stage Classifier Design Kirill Trapeznikov, Venkatesh Saligrama, David A. Castañón

AISTATS 2013 Supervised Sequential Classification Under Budget Constraints Kirill Trapeznikov, Venkatesh Saligrama

ICML 2013 Topic Discovery Through Data Dependent and Random Projections Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama

AISTATS 2012 Local Anomaly Detection Venkatesh Saligrama, Manqi Zhao

NeurIPS 2012 Local Supervised Learning Through Space Partitioning Joseph Wang, Venkatesh Saligrama

ACML 2012 Multi-Stage Classifier Design Kirill Trapeznikov, Venkatesh Saligrama, David Castañón

CVPR 2012 Video Anomaly Detection Based on Local Statistical Aggregates Venkatesh Saligrama, Zhu Chen

AISTATS 2011 Active Boosted Learning (ActBoost) Kirill Trapeznikov, Venkatesh Saligrama, David Castanon

NeurIPS 2010 Probabilistic Belief Revision with Structural Constraints Peter Jones, Venkatesh Saligrama, Sanjoy Mitter

CVPR 2009 Abnormal Events Detection Based on Spatio-Temporal Co-Occurences Yannick Benezeth, Pierre-Marc Jodoin, Venkatesh Saligrama, Christophe Rosenberger

NeurIPS 2009 Anomaly Detection with Score Functions Based on Nearest Neighbor Graphs Manqi Zhao, Venkatesh Saligrama