9:00 - 9:25 | Breakfast |
9:25 - 9:30 | Opening remarks by Richard Davis |
9:30 - 9:45 | Rishabh Dudeja, High Dimensional Optimization Landscape of the Regularized MLE for a Symmetric Mixture of two Gaussians. |
9:45 - 10:00 | Wenda Zhou, Compressibility and Generalization in Large-scale Deep Learning |
10:00 - 10:15 | Timothy Jones, Aggregated Relational Counts for Citation Networks |
10:15 - 10:30 | Jing Wu, Modeling Sporadic Event Dynamics with Markov-Modulated Hawkes Processes |
10:30 - 10:45 | Morgane Austern, TBD |
11:00 - 11:15 | Milad Bakshizadeh, Compressive Phase Retrieval of Structured Signal |
11:15 - 11:30 | Sihan Huang, Pairwise Covariates-adjusted Block Model for Community Detection |
11:30 - 11:45 | David Hirshberg, Augmented Linear Minimax Estimation |
11:45 - 12:00 | Florian Stebegg, Robust Pricing and Hedging around the Globe |
1:00 - 2:00 | Professor Ed George, The Wharton School |
2:15 - 2:30 | Gabriel Loiza, Dimensionality Reduction for Point Process Data |
2:30 - 2:45 | Guanhua Fang, Latent Class Models for Finding Co-occurent Patterns in Process Data |
2:45 - 3:00 | Hok Kan Ling, A Proportional Intensity Model with Random Effects for Process Data |
3:00 - 3:15 | Zhi Wang, Improving Approximation via Adaptive Weighting |
3:15 - 3:30 | Peter Lee, Challenges in Spike Sorting and YASS: Yet Another Spike Sorter |
3:45 - 4:00 | Adji Bousso Dieng, Augment and Reduce: Stochastic Inference for Large Categorical Distributions |
4:00 - 4:15 | Yixin Wang, Frequentist Consistency of Variational Bayes |
4:15 - 4:30 | Yuling Yao, Yes, but Did it Work? Evaluating Variational Inference |
4:30 - 4:45 | Lydia Hsu, Variable Selection in Graphical Models |
4:45 - 5:00 | Jonathan Auerbach, Will Buildings Join the Mile-High-Club |
If you would like to attend any of the talks, please email Florian Stebegg.
The Faculty House is located at the intersection of 116th street and Morningside drive. The conference will be held in the Presidential Ballroom.