Arvind Easwaran

4 papers · 2025–2026 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

AAAI (2) ICML (1) JMLR (1)

Top co-authors

Blaise Genest (2) Michael Yuhas (1) Prashant Mohit (1) Xiaotao Liu (1) Subrat Prasad Panda (1) Xiang Fang (1) Suman Das (1) Mohit Prashant (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Core AI (3) Learning Types · Deep Learning (3) Machine Learning (2) Reinforcement Learning (2) Learning Types · Machine Learning (2) Methods (2) Core Methods (1) Models (1)

Keywords

reinforcement learning (2) policy gradient (1) markov decision process (1) gradient descent (1) safe reinforcement learning (1) variational autoencoder (1) out-of-distribution detection (1) tabular data (1) straight-through estimator (1) cost constraint (1) oblique decision tree (1) reward optimization (1) transition estimation (1) conformity-based detection (1) learnable prompt (1) conformity-based detector (1) clip (1) class-wise threshold (1) few-shot ood detection (1) inter-class distribution (1)

Papers

Approximation-Free Differentiable Oblique Decision Trees JMLR 2026 CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026 Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection ICML 2025 Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025