← Authors

S.v.n. Vishwanathan

18 papers · 2006–2019 · 6 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (17) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (7) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (63) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (5)

Conferences

NIPS (10) JMLR (4) AISTATS (1) COLT (1) CONLL (1) EMNLP (1)

Top co-authors

Nicol N. Schraudolph (4) Xinhua Zhang (3) Qinfeng Shi (3) Alex Smola (3) Ankan Saha (2) Alex J. Smola (2) James Petterson (2) Yasemin Altun (2) Nan Ding (2) Simon GΓΌnter (2)

Keywords

kernel methods (5) graph kernel (4) convex optimization (3) stochastic optimization (3) reproducing kernel hilbert space (3) support vector machine (3) regularized risk minimization (2) smoothing technique (2) classification (2) variational inference (2) lower bound (2) cutting plane method (2) convergence analysis (2) random walk (2) logistic regression (1) bayesian inference (1) approximate inference (1) feature extraction (1) online learning (1) convergence acceleration (1)

Papers

Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models AISTATS 2019
A Structural Smoothing Framework For Robust Graph Comparison NIPS 2015
Open Problem: Lower bounds for Boosting with Hadamard Matrices COLT 2013
Smoothing Multivariate Performance Measures JMLR 2012
t-divergence Based Approximate Inference NIPS 2011
Graph Kernels JMLR 2010
t-logistic regression NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning JMLR 2010
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
Lower Bounds on Rate of Convergence of Cutting Plane Methods NIPS 2010
Hash Kernels for Structured Data JMLR 2009
Semi-Markov Models for Sequence Segmentation CONLL 2007
Semi-Markov Models for Sequence Segmentation EMNLP 2007
Bundle Methods for Machine Learning NIPS 2007
implicit Online Learning with Kernels NIPS 2006
Fast Computation of Graph Kernels NIPS 2006
Fast Iterative Kernel PCA NIPS 2006