Timezone: »
Poster
t-divergence Based Approximate Inference
Nan Ding · S.V.N. Vishwanathan · Yuan Qi
Approximate inference is an important technique for dealing with large, intractable graphical models based on the exponential family of distributions. We extend the idea of approximate inference to the t-exponential family by defining a new t-divergence. This divergence measure is obtained via convex duality between the log-partition function of the t-exponential family and a new t-entropy. We illustrate our approach on the Bayes Point Machine with a Student's t-prior.
Author Information
Nan Ding (Google)
S.V.N. Vishwanathan (UCSC)
Yuan Qi (Purdue university)
More from the Same Authors
-
2021 Poster: Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning »
Nan Ding · Xi Chen · Tomer Levinboim · Sebastian Goodman · Radu Soricut -
2017 Poster: Cold-Start Reinforcement Learning with Softmax Policy Gradient »
Nan Ding · Radu Soricut -
2016 Poster: Stochastic Gradient MCMC with Stale Gradients »
Changyou Chen · Nan Ding · Chunyuan Li · Yizhe Zhang · Lawrence Carin -
2016 Poster: Distributed Flexible Nonlinear Tensor Factorization »
Shandian Zhe · Kai Zhang · Pengyuan Wang · Kuang-chih Lee · Zenglin Xu · Yuan Qi · Zoubin Ghahramani -
2015 Poster: A Structural Smoothing Framework For Robust Graph Comparison »
Pinar Yanardag · S.V.N. Vishwanathan -
2015 Poster: Embedding Inference for Structured Multilabel Prediction »
Farzaneh Mirzazadeh · Siamak Ravanbakhsh · Nan Ding · Dale Schuurmans -
2014 Poster: Bayesian Sampling Using Stochastic Gradient Thermostats »
Nan Ding · Youhan Fang · Ryan Babbush · Changyou Chen · Robert D Skeel · Hartmut Neven -
2011 Poster: EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning »
Yuan Qi · Feng Yan -
2010 Workshop: Machine Learning for Social Computing »
Zenglin Xu · Irwin King · Shenghuo Zhu · Yuan Qi · Rong Yan · John Yen -
2010 Poster: t-logistic regression »
Nan Ding · S.V.N. Vishwanathan -
2010 Poster: Lower Bounds on Rate of Convergence of Cutting Plane Methods »
Xinhua Zhang · Ankan Saha · S.V.N. Vishwanathan -
2010 Spotlight: Multiple Kernel Learning and the SMO Algorithm »
S.V.N. Vishwanathan · Zhaonan sun · Nawanol T Ampornpunt · Manik Varma -
2010 Poster: Multiple Kernel Learning and the SMO Algorithm »
S.V.N. Vishwanathan · Zhaonan sun · Nawanol T Ampornpunt · Manik Varma -
2010 Poster: Multitask Learning without Label Correspondences »
Novi Quadrianto · Alexander Smola · Tiberio Caetano · S.V.N. Vishwanathan · James Petterson -
2009 Poster: Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units »
Feng Yan · Ningyi XU · Yuan Qi