Vignesh Ganapathiraman

5 papers · 2016–2024 · 4 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

ICML (2) AISTATS (1) EMNLP (1) NeurIPS (1)

Top co-authors

Xinhua Zhang (4) Yaoliang Yu (3) Yingyi Ma (2) Junfeng Wen (1) Corey D Barrett (1) Shreyas Subramanian (1) Zhan Shi (1)

Research topics

Machine Learning (5) Core Methods (4) Deep Learning (3) Optimization & Theory · Machine Learning (3) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Bayesian & Probabilistic (1) Models (1) Optimization & Theory · Deep Learning (1)

Keywords

representation learning (1) stochastic gradient descent (1) semi-supervised learning (1) semidefinite programming (1) transfer learning (1) convex optimization (1) structured prediction (1) graph matching (1) wavelet transform (1) bregman divergence (1) convex relaxation (1) euclidean embedding (1) learning rate scheduling (1) parametric model (1) model convergence (1) training dynamics (1) invariant representation (1) conditional random field (1) latent structure (1) learning rate scheduler (1)

Papers

Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models EMNLP 2024 Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space ICML 2020 Learning Invariant Representations with Kernel Warping AISTATS 2019 Inductive Two-Layer Modeling with Parametric Bregman Transfer ICML 2018 Convex Two-Layer Modeling with Latent Structure NeurIPS 2016