Papers
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
Wenruo Bai, William Stafford Noble, Jeff A. Bilmes
The Lingering of Gradients: How to Reuse Gradients Over Time
Zeyuan Allen-Zhu, David Simchi-Levi, Xinshang Wang
Geometrically Coupled Monte Carlo Sampling
Mark Rowland, Krzysztof M Choromanski, François Chalus et al.
A Structured Prediction Approach for Label Ranking
Anna Korba, Alexandre Garcia, Florence d'Alché-Buc
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
Cedric Josz, Yi Ouyang, Richard Zhang et al.
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon, Surya Ganguli
Bounded-Loss Private Prediction Markets
Rafael Frongillo, Bo Waggoner
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi, David Poole
Computing Kantorovich-Wasserstein Distances on d-dimensional histograms using (d+1)-partite graphs
Gennaro Auricchio, Federico Bassetti, Stefano Gualandi et al.
Safe Active Learning for Time-Series Modeling with Gaussian Processes
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Generalizing Tree Probability Estimation via Bayesian Networks
Cheng Zhang, Frederick A Matsen IV
Optimistic optimization of a Brownian
Jean-Bastien Grill, Michal Valko, Remi Munos
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such et al.
Reparameterization Gradient for Non-differentiable Models
Wonyeol Lee, Hangyeol Yu, Hongseok Yang
Online Adaptive Methods, Universality and Acceleration
Kfir Y. Levy, Alp Yurtsever, Volkan Cevher
Relating Leverage Scores and Density using Regularized Christoffel Functions
Edouard Pauwels, Francis Bach, Jean-Philippe Vert
Fast Estimation of Causal Interactions using Wold Processes
Flavio Figueiredo, Guilherme Resende Borges, Pedro O.S. Vaz de Melo et al.
Found Graph Data and Planted Vertex Covers
Austin R Benson, Jon Kleinberg
Generative modeling for protein structures
Namrata Anand, Possu Huang
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms
Zhihui Zhu, Yifan Wang, Daniel Robinson et al.
Constant Regret, Generalized Mixability, and Mirror Descent
Zakaria Mhammedi, Robert C. Williamson
Thwarting Adversarial Examples: An L_0-Robust Sparse Fourier Transform
Mitali Bafna, Jack Murtagh, Nikhil Vyas
Learning to Multitask
Yu Zhang, Ying Wei, Qiang Yang
Masking: A New Perspective of Noisy Supervision
Bo Han, Jiangchao Yao, Gang Niu et al.
Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching
Stepan Tulyakov, Anton Ivanov, François Fleuret