Papers
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond
Xin Bing, Florentina Bunea, Seth Strimas-Mackey et al.
Predictive Learning on Hidden Tree-Structured Ising Models
Konstantinos E. Nikolakakis, Dionysios S. Kalogerias, Anand D. Sarwate
Preference-based Online Learning with Dueling Bandits: A Survey
Viktor Bengs, Róbert Busa-Fekete, Adil El Mesaoudi-Paul et al.
Probabilistic Iterative Methods for Linear Systems
Jon Cockayne, Ilse C.F. Ipsen, Chris J. Oates et al.
Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks
Junlong Zhu, Qingtao Wu, Mingchuan Zhang et al.
Pseudo-Marginal Hamiltonian Monte Carlo
Johan Alenlöv, Arnoud Doucet, Fredrik Lindsten
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt et al.
Pykg2vec: A Python Library for Knowledge Graph Embedding
Shih-Yuan Yu, Sujit Rokka Chhetri, Arquimedes Canedo et al.
Quasi-Monte Carlo Quasi-Newton in Variational Bayes
Sifan Liu, Art B. Owen
Ranking and synchronization from pairwise measurements via SVD
Alexandre d'Aspremont, Mihai Cucuringu, Hemant Tyagi
RaSE: Random Subspace Ensemble Classification
Ye Tian, Yang Feng
Regularized spectral methods for clustering signed networks
Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem et al.
Regulating Greed Over Time in Multi-Armed Bandits
Stefano Tracà, Cynthia Rudin, Weiyu Yan
Replica Exchange for Non-Convex Optimization
Jing Dong, Xin T. Tong
Reproducing kernel Hilbert C*-module and kernel mean embeddings
Yuka Hashimoto, Isao Ishikawa, Masahiro Ikeda et al.
Residual Energy-Based Models for Text
Anton Bakhtin, Yuntian Deng, Sam Gross et al.
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri et al.
Risk-Averse Learning by Temporal Difference Methods with Markov Risk Measures
Umit Köse, Andrzej Ruszczyński
Risk Bounds for Unsupervised Cross-Domain Mapping with IPMs
Tomer Galanti, Sagie Benaim, Lior Wolf
River: machine learning for streaming data in Python
Jacob Montiel, Max Halford, Saulo Martiello Mastelini et al.
ROOTS: Object-Centric Representation and Rendering of 3D Scenes
Chang Chen, Fei Deng, Sungjin Ahn
Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach
Alberto Maria Metelli, Matteo Pirotta, Daniele Calandriello et al.
Shape-Enforcing Operators for Generic Point and Interval Estimators of Functions
Xi Chen, Victor Chernozhukov, Ivan Fernandez-Val et al.