Abhijith Jayakumar

3 papers · 2020–2026 · 3 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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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11)

Venues

COLT (1) ICML (1) NeurIPS (1)

Top co-authors

Sidhant Misra (3) Marc Vuffray (2) Parikshit Pareek (1) Kaarthik Sundar (1) Devin Smedira (1) Andrey Lokhov (1) Deepjyoti Deka (1) Andrey Y. Lokhov (1)

Research topics

Machine Learning (3) Deep Learning (2) Core Methods (2) Optimization & Theory (2) Architectures (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1)

Keywords

semi-supervised learning (1) density estimation (1) structure learning (1) sample complexity (1) exponential family (1) posterior samples (1) score matching (1) energy function (1) graphical model (1) bayesian neural network (1) training time (1) finite sample bound (1) limited labeled data (1) neural network (1) interaction screening (1) probabilistic confidence bounds (1)

Papers

Finite Sample Bounds for Learning with Score Matching COLT 2026 Optimization Proxies using Limited Labeled Data and Training Time – A Semi-Supervised Bayesian Neural Network Approach ICML 2025 Learning of Discrete Graphical Models with Neural Networks NeurIPS 2020