Papers
3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities
Bingbin Liu, Michelle Guo, Edward Chou et al.
Boosted Trees for Risk Prognosis
Alexis Bellot, Mihaela van der Schaar
DALEX: Explainers for Complex Predictive Models in R
Przemyslaw Biecek
Seglearn: A Python Package for Learning Sequences and Time Series
David M. Burns, Cari M. Whyne
Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling
Mariano Tepper, Anirvan M. Sengupta, Dmitri Chklovskii
Improved Asynchronous Parallel Optimization Analysis for Stochastic Incremental Methods
Remi Leblond, Fabian Pedregosa, Simon Lacoste-Julien
Robust PCA by Manifold Optimization
Teng Zhang, Yi Yang
Online Bootstrap Confidence Intervals for the Stochastic Gradient Descent Estimator
Yixin Fang, Jinfeng Xu, Lei Yang
A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation
Karl Rohe, Jun Tao, Xintian Han et al.
Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations
Kai-Yang Chiang, Inderjit S. Dhillon, Cho-Jui Hsieh
Sparse Estimation in Ising Model via Penalized Monte Carlo Methods
Blazej Miasojedow, Wojciech Rejchel
An efficient distributed learning algorithm based on effective local functional approximations
Dhruv Mahajan, Nikunj Agrawal, S. Sathiya Keerthi et al.
Optimal Bounds for Johnson-Lindenstrauss Transformations
Michael Burr, Shuhong Gao, Fiona Knoll
Scikit-Multiflow: A Multi-output Streaming Framework
Jacob Montiel, Jesse Read, Albert Bifet et al.
Optimal Quantum Sample Complexity of Learning Algorithms
Srinivasan Arunachalam, Ronald de Wolf
The Implicit Bias of Gradient Descent on Separable Data
Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson et al.
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling
Adrian Šošić, Elmar Rueckert, Jan Peters et al.
Multivariate Bayesian Structural Time Series Model
Jinwen Qiu, S. Rao Jammalamadaka, Ning Ning
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
Christian Donner, Manfred Opper
Inference via Low-Dimensional Couplings
Alessio Spantini, Daniele Bigoni, Youssef Marzouk
Extrapolating Expected Accuracies for Large Multi-Class Problems
Charles Zheng, Rakesh Achanta, Yuval Benjamini
Scaling up Data Augmentation MCMC via Calibration
Leo L. Duan, James E. Johndrow, David B. Dunson
Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers
Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang et al.
Hinge-Minimax Learner for the Ensemble of Hyperplanes
Dolev Raviv, Tamir Hazan, Margarita Osadchy