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Poster
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Mon 18:30
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A Screening Rule for l1-Regularized Ising Model Estimation
Zhaobin Kuang · Sinong Geng · David Page
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Poster
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Mon 18:30
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Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald · Seyoung Park · Shuheng Zhou · Alexander Giessing
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Spotlight
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Wed 11:30
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A Universal Analysis of Large-Scale Regularized Least Squares Solutions
Ashkan Panahi · Babak Hassibi
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Poster
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Mon 18:30
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Solving Most Systems of Random Quadratic Equations
Gang Wang · Georgios Giannakis · Yousef Saad · Jie Chen
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Poster
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Tue 18:30
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Implicit Regularization in Matrix Factorization
Suriya Gunasekar · Blake Woodworth · Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
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Poster
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Mon 18:30
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Dykstra's Algorithm, ADMM, and Coordinate Descent: Connections, Insights, and Extensions
Ryan Tibshirani
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Poster
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Wed 18:30
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Learning to Pivot with Adversarial Networks
Gilles Louppe · Michael Kagan · Kyle Cranmer
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Oral
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Wed 10:50
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Variance-based Regularization with Convex Objectives
Hongseok Namkoong · John Duchi
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Spotlight
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Tue 11:40
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Implicit Regularization in Matrix Factorization
Suriya Gunasekar · Blake Woodworth · Srinadh Bhojanapalli · Behnam Neyshabur · Nati Srebro
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Poster
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Wed 18:30
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A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
Kevin Lin · James Sharpnack · Alessandro Rinaldo · Ryan Tibshirani
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Poster
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Tue 18:30
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Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata · Taiji Suzuki
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Poster
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Mon 18:30
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A Regularized Framework for Sparse and Structured Neural Attention
Vlad Niculae · Mathieu Blondel
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