Papers
4,025 papers found
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.
The Gaussian Process Autoregressive Regression Model (GPAR)
James Requeima, William Tebbutt, Wessel Bruinsma et al.
The LORACs Prior for VAEs: Letting the Trees Speak for the Data
Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson
The non-parametric bootstrap and spectral analysis in moderate and high-dimension
Noureddine El Karoui, Elizabeth Purdom
Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning
Tadashi Kozuno, Eiji Uchibe, Kenji Doya
The Termination Critic
Anna Harutyunyan, Will Dabney, Diana Borsa et al.
Top Feasible Arm Identification
Julian Katz-Samuels, Clayton Scott
Tossing Coins Under Monotonicity
Matey Neykov
Towards a Theoretical Understanding of Hashing-Based Neural Nets
Yibo Lin, Zhao Song, Lin F. Yang
Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time
Dan Kushnir, Shirin Jalali, Iraj Saniee