Brian Kulis
33 papers · 1999–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 30% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Brian Kulis?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ke Jiang, Anirban Roychowdhury, Suvrit Sra
7 papers
· 2005–2017
· AISTATS, NeurIPS, ICML
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Combinatorial Topic Models using Small-Variance Asymptotics
AISTATS 2017
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics
ICML 2016
Gamma Processes, Stick-Breaking, and Variational Inference
AISTATS 2015
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
CVPR 2015
Small-Variance Asymptotics for Hidden Markov Models
NeurIPS 2013
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
NeurIPS 2012
Convex Perturbations for Scalable Semidefinite Programming
AISTATS 2005
8 papers whose co-authors appear nowhere else under this name
Deep Divergence Learning
ICML 2020
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
IJCAI 2019
A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate Models
AISTATS 2015
Power-Law Graph Cuts
AISTATS 2015
Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
NeurIPS 2013
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
ICML 2013
Learning to Hash with Binary Reconstructive Embeddings
NeurIPS 2009
Fast Low-Rank Semidefinite Programming for Embedding and Clustering
AISTATS 1999