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34 Results
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Poster
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Thu 14:00 |
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models Aytunc Sahin · Yatao Bian · Joachim Buhmann · Andreas Krause |
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Poster
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Tue 18:00 |
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics Futoshi Futami · Issei Sato · Masashi Sugiyama |
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Poster
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Thu 8:00 |
Model Fusion with Kullback--Leibler Divergence Sebastian Claici · Mikhail Yurochkin · Soumya Ghosh · Justin Solomon |
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Poster
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Thu 8:00 |
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin |
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Poster
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Thu 8:00 |
One-shot Distributed Ridge Regression in High Dimensions Yue Sheng · Edgar Dobriban |
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Poster
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Tue 8:00 |
Meta-learning for Mixed Linear Regression Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh |
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Poster
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Thu 7:00 |
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference Michael Zhu · Chang Liu · Jun Zhu |
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Poster
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Tue 7:00 |
Faster Graph Embeddings via Coarsening Matthew Fahrbach · Gramoz Goranci · Richard Peng · Sushant Sachdeva · Chi Wang |
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Poster
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Thu 15:00 |
Spectral Subsampling MCMC for Stationary Time Series Robert Salomone · Matias Quiroz · Robert kohn · Mattias Villani · Minh-Ngoc Tran |
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Poster
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Wed 9:00 |
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations Robert Mattila · Cristian R. Rojas · Eric Moulines · Vikram Krishnamurthy · Bo Wahlberg |