Bin Yu
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 8 in the filters
on a stage with
- Aleksandra Slavkoviconce
- Anand Sarwateonce
- Deb Nolanonce
all 12 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Understanding, Simplicity, And Decision Trees | Data-Driven Decision Processes Boot Camp 2022 | 2022-08-22 |
Shows that CART-style trees suffer a provable gap on smooth additive models by proving a lower bound using information theory that decision trees need many… | ||
| Discussion Panel: Statistics in the Big Data Era | Statistics in the Big Data Era 2022 | 2022-06-01 |
Panelists trace concrete shifts: algorithms meet inference, with stochastic gradient descent and online methods replacing old stochastic approximation; routine… | ||
| Adaptive Wavelet Distillation from DNNs and Dictionary Learning | Deep Learning Theory Symposium 2021 | 2021-12-03 |
Pretrained ResNet outputs are distilled into an adaptive wavelet transform with a three-term loss (reconstruction + wavelet constraints + an L1 gradient… | ||
| Interpreting Deep Neural Networks (DNNs) | Frontiers of Deep Learning 2019 | 2019-07-15 |
Transfer-learning from ImageNet conv layers plus simple ridge/LASSO regression predicts single-neuron V4 firing rates at state-of-the-art levels across 18… | ||
| PANEL: Statistical Theory, Privacy and Data Analysis | Privacy and the Science of Data Analysis 2019 | 2019-04-08 |
Panel argues that differential privacy acts as both a constraint and an enabler: it enforces data hygiene, gives formal generalization guarantees, and opens… | ||
| Stability and Convergence Trade-Off of Iterative Optimization Algorithms | Optimization, Statistics and Uncertainty | 2017-11-28 |
Paper proves a quantitative trade-off between algorithmic stability and optimization convergence, using jackknife-style data perturbations, Le Cam minimax… | ||
| Spatial Gene Expression Patterns in Drosophila | Network Biology 2016 | 2016-04-11 |
A reproducible pipeline decomposes spatial Drosophila embryo expression (about 1 TB, 405 genes sampled into 405 superpixels) with stability-driven non-negative… | ||
| The Impact of Regularization in Spectral Clustering | Spectral Algorithms: From Theory to Practice 2014 | 2014-10-27 |
Regularizing the graph by adding a constant to the adjacency (or to degrees) reduces eigenvector variability and uncovers large communities that unregularized… | ||
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