Aditya Gangrade

15 papers · 2019–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (37)

🤝 Dynamic Duo (13) 💎 Century Club · Bronze 🗃️ Keyword Collector (81) 🔥 Unstoppable · Bronze

Venues

NeurIPS (5) ICML (4) AISTATS (2) ICLR (2) COLT (1) CVPR (1)

Top co-authors

Venkatesh Saligrama (13) Anil Kag (4) Clayton Scott (3) Tianrui Chen (2) Bobak Nazer (2) Durmus Alp Emre Acar (2) Samarth Mishra (1) Aldo Pacchiano (1) Yo Joong Choe (1) Aaditya Ramdas (1)

Research topics

Machine Learning (12) Mathematics & Optimization (8) Core Methods (6) Learning Types (6) Optimization (6) Optimization & Theory (6) Artificial Intelligence (4) Core AI (4) Computer Science (2) Mathematics (2) Computer Vision (1) Deep Learning (1) Analysis (1) Application Areas (1) Foundations (1)

Keywords

information theory (2) selective classification (2) online learning (2) sparse recovery (1) convex optimization (1) change detection (1) knowledge distillation (1) self-supervised learning (1) graph inference (1) sample complexity (1) pac learning (1) community detection (1) loss landscape (1) neural architecture (1) empirical risk minimization (1) ising model (1) hypothesis testing (1) label noise (1) graph theory (1) domain adaptation (1)

Papers

Feasible Action Search for Bandit Linear Programs via Thompson Sampling ICML 2025 SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models CVPR 2025 Label Noise: Ignorance Is Bliss NeurIPS 2024 Safe Linear Bandits over Unknown Polytopes COLT 2024 Testing the Feasibility of Linear Programs with Bandit Feedback ICML 2024 Counterfactually Comparing Abstaining Classifiers NeurIPS 2023 Efficient Edge Inference by Selective Query ICLR 2023 Scaffolding a Student to Instill Knowledge ICLR 2023 Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk ICML 2022 Online Selective Classification with Limited Feedback NeurIPS 2021 Selective Classification via One-Sided Prediction AISTATS 2021 Budget Learning via Bracketing AISTATS 2020 Limits on Testing Structural Changes in Ising Models NeurIPS 2020 Piecewise Linear Regression via a Difference of Convex Functions ICML 2020 Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models NeurIPS 2019