Ardhendu Tripathy

6 papers · 2019–2026 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) UAI (2) ICML (1)

Top co-authors

Robert Nowak (4) Blake Mason (3) Lalit Jain (1) Shreen Gul (1) Raja Sunkara (1) Sanjay Madria (1) Mohamed Elmahallawy (1) Sumeet Katariya (1)

Research topics

Machine Learning (5) Artificial Intelligence (3) Mathematics & Optimization (3) Core Methods (3) Optimization (3) Core AI (2) Learning Types · Machine Learning (2) Optimization & Theory (2) Deep Learning (1) Application Areas (1) Bayesian & Probabilistic (1) Learning Types · Deep Learning (1)

Keywords

multi-armed bandit (3) uncertainty quantification (2) stochastic optimization (2) principal component analysis (1) graph learning (1) information retrieval (1) adaptive sampling (1) nearest neighbor search (1) distance estimation (1) distribution shift (1) query complexity (1) ucb algorithm (1) best arm identification (1) multi-index functions (1) upper confidence bound (1) stochastic bandit (1) out-of-distribution detection (1) bandit algorithm (1) pure exploration (1) weight quantization (1)

Papers

Detecting Out of Distribution Samples using Class Centered Residual Energy in the Discarded PCA Subspace with Weight Alignment UAI 2026 Adaptive Partitioning Schemes for Optimistic Optimization ICML 2025 Nearest neighbor search under uncertainty UAI 2021 Finding All ε-Good Arms in Stochastic Bandits NeurIPS 2020 Learning Nearest Neighbor Graphs from Noisy Distance Samples NeurIPS 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019