Papers
Sequential Graph Matching with Sequential Monte Carlo
Seong-Hwan Jun, Samuel W.K. Wong, James Zidek et al.
Linear Convergence of Stochastic Frank Wolfe Variants
Donald Goldfarb, Garud Iyengar, Chaoxu Zhou
Scalable Variational Inference for Super Resolution Microscopy
Ruoxi Sun, Evan Archer, Liam Paninski
Learning Optimal Interventions
Jonas Mueller, David Reshef, George Du et al.
Complementary Sum Sampling for Likelihood Approximation in Large Scale Classification
Aleksandar Botev, Bowen Zheng, David Barber
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski et al.
Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere
Albert Thomas, Stéphan Clemencon, Alexandre Gramfort et al.
A Learning Theory of Ranking Aggregation
Anna Korba, Stéphan Clemencon, Eric Sibony
A New Class of Private Chi-Square Hypothesis Tests
Ryan Rogers, Daniel Kifer
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation
Lingxiao Wang, Xiao Zhang, Quanquan Gu
Frequency Domain Predictive Modelling with Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Fairness Constraints: Mechanisms for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez et al.
Black-box Importance Sampling
Qiang Liu, Jason Lee
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, Stephen Wright et al.
Minimax-optimal semi-supervised regression on unknown manifolds
Amit Moscovich, Ariel Jaffe, Nadler Boaz
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent
Pan Xu, Tingting Zhang, Quanquan Gu
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
Scott Linderman, Matthew Johnson, Andrew Miller et al.
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
Juho Piironen, Aki Vehtari
DP-EM: Differentially Private Expectation Maximization
Mijung Park, James Foulds, Kamalika Choudhary et al.
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
Yasin Abbasi-Yadkori, Peter Bartlett, Victor Gabillon et al.
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello, Rajiv Khanna, Michael Tschannen et al.