Papers
Size of Interventional Markov Equivalence Classes in random DAG models
Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires et al.
Sketching for Latent Dirichlet-Categorical Models
Joseph Tassarotti, Jean-Baptiste Tristan, Michael Wick
SMOGS: Social Network Metrics of Game Success
Fan Bu, Sonia Xu, Katherine Heller et al.
Sobolev Descent
Youssef Mroueh, Tom Sercu, Anant Raj
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander F. Lapanowski, Irina Gaynanova
Sparse Multivariate Bernoulli Processes in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash Amini et al.
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity
Luca Ambrogioni, Patrick Ebel, Max Hinne et al.
SPONGE: A generalized eigenproblem for clustering signed networks
Mihai Cucuringu, Peter Davies, Aldo Glielmo et al.
Statistical Learning under Nonstationary Mixing Processes
Steve Hanneke, Liu Yang
Statistical Optimal Transport via Factored Couplings
Aden Forrow, Jan-Christian Hütter, Mor Nitzan et al.
Statistical Windows in Testing for the Initial Distribution of a Reversible Markov Chain
Quentin Berthet, Varun Kanade
Stochastic algorithms with descent guarantees for ICA
Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso et al.
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
Mor Shpigel Nacson, Nathan Srebro, Daniel Soudry
Stochastic Gradient Descent with Exponential Convergence Rates of Expected Classification Errors
Atsushi Nitanda, Taiji Suzuki
Stochastic Negative Mining for Learning with Large Output Spaces
Sashank J. Reddi, Satyen Kale, Felix Yu et al.
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
Zhe Wang, Yi Zhou, Yingbin Liang et al.
Structured Disentangled Representations
Babak Esmaeili, Hao Wu, Sarthak Jain et al.
Structured Neural Topic Models for Reviews
Babak Esmaeili, Hongyi Huang, Byron Wallace et al.
Structured Robust Submodular Maximization: Offline and Online Algorithms
Nima Anari, Nika Haghtalab, Seffi Naor et al.
Subsampled Renyi Differential Privacy and Analytical Moments Accountant
Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson, David Sontag, Rajesh Ranganath
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
Clarice Poon, Nicolas Keriven, Gabriel Peyré
Temporal Quilting for Survival Analysis
Changhee Lee, William Zame, Ahmed Alaa et al.
Testing Conditional Independence on Discrete Data using Stochastic Complexity
Alexander Marx, Jilles Vreeken
Test without Trust: Optimal Locally Private Distribution Testing
Jayadev Acharya, Clement Canonne, Cody Freitag et al.