Statistics in the Big Data Era 2022
2022-06-01..2022-06-03
Berkeley, United States
[Information Theory, Learning and Big Data (Simons Institute, 2015), PyData NYC 2018, From Algorithms to Discovery in Genome-Scale Biology and Medicine 2022, PyData Berlin 2017, Algorithmic Advances for Statistical Inference with Combinatorial Structure, Learning, Algorithm Design and Beyond Worst-Case Analysis]
who it's for
academic statisticians, statistical methodologists, computational biologists, bioinformaticians, network scientists, data scientists
topics
m-out-of-n bootstrap resampling; boundary-integrated Gaussian process emulators; trimmed lasso sparse recovery; debiasing random forests for CATE; allele-specific single-cell copy number calling; calibrated inference with variance inflation estimation; squared-adjacency spectral clustering for multilayer networks; TIER transitive inhomogeneous ER models; bootstrapping Oja streaming PCA error; cyclic permutation tests for linear models; mean-field variational Bayes under strong SNR
| title | author | length |
|---|---|---|
| Testing: Variations On A Theme (Solo And Choir) | Ya’acov Ritov | 01h 02m |
Sixty years of work on testing is condensed into concrete claims: nonparametric vs semi‑parametric tools, rank/median procedures and Wilcoxon‑style tests show… | ||
| Opening Remarks | Jennifer Chayes, Sandrine Dudoit | 16m |
Workshop logistics include lockers with PIN for lunchtime storage, a videographer Omid Far to assist with computers and mics, and a monthly siren test at… | ||
| Bickel's Influence On My Career | Harrison Zhou | 40m |
Three concrete claims and how they are proved: covariance estimation shows that for banding models a sample size of order log P suffices and spectral-norm… | ||
| Debiasing Random Forests For Treatment Effect Estimation | Jasjeet Sekhon | 54m |
Random forests used as CATE base learners have systematic shrinkage from feature subsampling that biases subgroup effects; a simple deployable fix runs the… | ||
| Bdrygp: A Boundary-Integrated Gaussian Process Model For Computer Code Emulation | Jeff Wu | 40m |
BdryGP integrates Dirichlet boundary information directly into Gaussian process emulators, giving closed‑form Matérn‑based kernels that force zero variance on… | ||
| Calibrated Inference: Statistical Inference That Accounts For Both Sampling Uncertainty And... | Dominik Rothenhaeusler | 44m |
Proposes a distributional uncertainty model where data come from a two‑stage random reweighting that produces a single global delta scaling factor inflating… | ||
| The Trimmed Lasso: Sparse Recovery Guarantees And Practical Optimization | Boaz Nadler | 40m |
Addresses best-subset sparse recovery by using the trimmed lasso penalty (L1 minus L1 of the top-k entries) and proves stability: any local minimizer with… | ||
| Global Community Detection Using Individual-Centered Partial Information Networks | Rachel Wang | 43m |
Framework models an L=2 partial-view as a partial adjacency B = S A S and isolates a random signal term BE whose rank is 2K under SBM/DCSBM; eigenvalues and… | ||
| Bias-Adjusted Spectral Clustering In Multi-Layer Stochastic Block Models | Jing Lei | 38m |
Proposes spectral clustering on the sum of squared adjacency matrices with diagonal removed to cancel a layerwise bias that grows like L, turning the… | ||
| Dna Copy Number Profiling From Bulk Tissue To Single Cells | Nancy Zhang | 42m |
Alleloscope is an allele-specific copy number pipeline that combines pooled segmentation and EM-based phasing to call haplotype-resolved CNAs from sparse… | ||
| Enhancing Statistical Rigor In Genomic Data Science | Jingyi Jessica Li | 42m |
Argues that ill‑posed p‑values arise from three concrete failures (treating two‑sample problems as one‑sample, poor parametric fits, and treating inferred… | ||
| General Network Models with Transitive Structures | Sharmodeep Bhattacharyya | 41m |
Proposes TIER (Transitive Inhomogeneous Erdos-Renyi) models that repeatedly perform triangle closure and empirically produce all five desired features… | ||
| Statistics and Biology: A Virtuous Cycle Driving Innovation | Ben Brown | 31m |
Work focuses on extracting actionable mechanisms from messy biological data: iterative random forests plus random intersection trees extract decision-rule… | ||
| Discussion Panel: Statistics in the Big Data Era | Peter Bickel, Peter Bühlmann, Jianqing Fan, Jon McAuliffe, Deb Nolan, Tao Shi, Bin Yu, Liza Levina | 01h 00m |
Panelists trace concrete shifts: algorithms meet inference, with stochastic gradient descent and online methods replacing old stochastic approximation; routine… | ||
| Bootstrapping The Error Of Oja’S Algorithm | Purnamrita Sarkar | 36m |
Proves that n times the sin^2 error of Oja’s streaming PCA output follows a weighted χ2 approximation and gives conditions (eigengap, learning-rate regime with… | ||
| Optimal Nonparametric Testing Of Missing Completely At Random, And Its Connections To Compatibility | Richard Samworth | 42m |
Characterises exactly which non‑MCAR alternatives are detectable and reduces detection to a compatibility problem tied to Fréchet classes, then builds a… | ||
| Cyclic Permutation Test: A Nonstandard Exact Test For Linear Models | Lihua Lei, Peter Bickel | 41m |
Proposes the Cyclic Permutation Test (CPT) that gives exact finite-sample Type I control for arbitrary fixed design and arbitrary exchangeable errors whenever… | ||
| Statistics In Quantum Computational Supremacy | Yazhen Wang | 48m |
Two experimental claims target random quantum circuits (superconducting 53 qubits) and boson sampling (photonic interferometer). Each runs a 200‑second job… | ||
| Inspirations Across Seven Decades | David Donoho | 43m |
Seven decades of work condense into concrete claims: seven decades of influence, ~16,000 citations in the 2010s, and specific bridges between robustness and… | ||
| Poster Awards & Closing Remarks | Peter Bickel, Haiyan Huang | 09m |
Conference wraps with six poster awards announced by name and title: Wenjing Tang (Population-level Violence in Social Networks, Michigan), Yulin Yang… | ||
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