← Authors

Venkatesh Saligrama

80 papers · 2009–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (16) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (14) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (13) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (17) πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (17) ⚑ Prolific Year (6) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (79) πŸ’Ž Century Club (79)

Conferences

ICML (18) NIPS (18) AISTATS (15) CVPR (8) ICCV (5) ICLR (5) ACML (2) EMNLP (2) ACL (1) COLT (1) CORL (1) EACL (1) ECCV (1) IJCNLP (1) JMLR (1)

Top co-authors

Aditya Gangrade (13) Durmus Alp Emre Acar (8) Anil Kag (8) Joseph Wang (7) Ziming Zhang (7) Csaba SzepesvΓ‘ri (5) Samarth Mishra (5) Kirill Trapeznikov (5) Ruizhao Zhu (4) Tolga Bolukbasi (4)

Research topics

Statistics (1)

Keywords

transfer learning (5) information theory (4) online learning (4) regret bound (4) anomaly detection (4) active learning (4) rank-one matrix (3) multi-armed bandit (3) domain adaptation (3) topic modeling (3) feature selection (3) sensor selection (3) sample complexity (3) pairwise comparison (3) probabilistic modeling (3) metric learning (3) convex optimization (3) empirical risk minimization (3) zero-shot learning (2) unsupervised learning (2)

Papers

Hearing Between the Lines: Unlocking the Reasoning Power of LLMs for Speech Evaluation EACL 2026
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging EMNLP 2025
Feasible Action Search for Bandit Linear Programs via Thompson Sampling ICML 2025
GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching ICLR 2025
SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models CVPR 2025
BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning ICCV 2025
Testing the Feasibility of Linear Programs with Bandit Feedback ICML 2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency ECCV 2024
Safe Linear Bandits over Unknown Polytopes COLT 2024
Efficient Edge Inference by Selective Query ICLR 2023
Learning Human Action Recognition Representations Without Real Humans NIPS 2023
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion NIPS 2023
Learning to Drive Anywhere CORL 2023
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the β€œWhat” and Focus on the β€œHow”! ACL 2023
Scaffolding a Student to Instill Knowledge ICLR 2023
How Transferable are Video Representations Based on Synthetic Data? NIPS 2022
Task2Sim: Towards Effective Pre-Training and Transfer From Synthetic Data CVPR 2022
Faster Algorithms for Learning Convex Functions ICML 2022
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk ICML 2022
ActiveHedge: Hedge meets Active Learning ICML 2022
Condensing CNNs With Partial Differential Equations CVPR 2022
Selective Classification via One-Sided Prediction AISTATS 2021
Online Selective Classification with Limited Feedback NIPS 2021
Bandit Quickest Changepoint Detection NIPS 2021
Training Recurrent Neural Networks via Forward Propagation Through Time ICML 2021
Memory Efficient Online Meta Learning ICML 2021
Debiasing Model Updates for Improving Personalized Federated Training ICML 2021
Time Adaptive Recurrent Neural Network CVPR 2021
Effectively Leveraging Attributes for Visual Similarity ICCV 2021
Federated Learning Based on Dynamic Regularization ICLR 2021
Minimax Rank-$1$ Matrix Factorization AISTATS 2020
Don't Even Look Once: Synthesizing Features for Zero-Shot Detection CVPR 2020
Limits on Testing Structural Changes in Ising Models NIPS 2020
Online Algorithm for Unsupervised Sequential Selection with Contextual Information NIPS 2020
Budget Learning via Bracketing AISTATS 2020
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers JMLR 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
Learning to Approximate a Bregman Divergence NIPS 2020
Piecewise Linear Regression via a Difference of Convex Functions ICML 2020
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients? ICLR 2020
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NIPS 2019
Cost aware Inference for IoT Devices AISTATS 2019
Online Algorithm for Unsupervised Sensor Selection AISTATS 2019
Learning Classifiers for Target Domain with Limited or No Labels ICML 2019
Generalized Zero-Shot Recognition Based on Visually Semantic Embedding CVPR 2019
Robust Text Classifier on Test-Time Budgets IJCNLP 2019
Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices NIPS 2019
Robust Text Classifier on Test-Time Budgets EMNLP 2019
Graph Resistance and Learning from Pairwise Comparisons ICML 2019
Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations ICCV 2019
Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers ICML 2018
Unsupervised Sequential Sensor Acquisition AISTATS 2017
Connected Subgraph Detection with Mirror Descent on SDPs ICML 2017
Adaptive Classification for Prediction Under a Budget NIPS 2017
Adaptive Neural Networks for Efficient Inference ICML 2017
Zero-Shot Learning via Joint Latent Similarity Embedding CVPR 2016
Pruning Random Forests for Prediction on a Budget NIPS 2016
Efficient Training of Very Deep Neural Networks for Supervised Hashing CVPR 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings NIPS 2016
Zero-Shot Learning via Semantic Similarity Embedding ICCV 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction NIPS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
Learning Efficient Anomaly Detectors from K-NN Graphs AISTATS 2015
Group Membership Prediction ICCV 2015
Feature-Budgeted Random Forest ICML 2015
Cheap Bandits ICML 2015
Information-Theoretic Characterization of Sparse Recovery AISTATS 2014
Efficient Minimax Signal Detection on Graphs NIPS 2014
An LP for Sequential Learning Under Budgets AISTATS 2014
Connected Sub-graph Detection AISTATS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Topic Discovery through Data Dependent and Random Projections ICML 2013
Supervised Sequential Classification Under Budget Constraints AISTATS 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Local Anomaly Detection AISTATS 2012
Multi-Stage Classifier Design ACML 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Active Boosted Learning (ActBoost) AISTATS 2011
Probabilistic Belief Revision with Structural Constraints NIPS 2010
Anomaly Detection with Score functions based on Nearest Neighbor Graphs NIPS 2009