Papers
Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design
Jayanth Jagalur-Mohan, Youssef Marzouk
Bayesian Distance Clustering
Leo L. Duan, David B. Dunson
Bayesian Text Classification and Summarization via A Class-Specified Topic Model
Feifei Wang, Junni L. Zhang, Yichao Li et al.
Bayesian time-aligned factor analysis of paired multivariate time series
Arkaprava Roy, Jana Schaich Borg, David B Dunson
Benchmarking Unsupervised Object Representations for Video Sequences
Marissa A. Weis, Kashyap Chitta, Yash Sharma et al.
Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale, Holger Schwenk et al.
Bifurcation Spiking Neural Network
Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity
Bin Gu, Xiyuan Wei, Shangqian Gao et al.
CAT: Compression-Aware Training for bandwidth reduction
Chaim Baskin, Brian Chmiel, Evgenii Zheltonozhskii et al.
ChainerRL: A Deep Reinforcement Learning Library
Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka et al.
Classification vs regression in overparameterized regimes: Does the loss function matter?
Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian et al.
COKE: Communication-Censored Decentralized Kernel Learning
Ping Xu, Yue Wang, Xiang Chen et al.
Collusion Detection and Ground Truth Inference in Crowdsourcing for Labeling Tasks
Changyue Song, Kaibo Liu, Xi Zhang
Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA
Zengfeng Huang, Xuemin Lin, Wenjie Zhang et al.
Conditional independences and causal relations implied by sets of equations
Tineke Blom, Mirthe M. van Diepen, Joris M. Mooij
Consensus-Based Optimization on the Sphere: Convergence to Global Minimizers and Machine Learning
Massimo Fornasier, Lorenzo Pareschi, Hui Huang et al.
Consistency of Gaussian Process Regression in Metric Spaces
Peter Koepernik, Florian Pfaff
Consistent estimation of small masses in feature sampling
Fadhel Ayed, Marco Battiston, Federico Camerlenghi et al.
Consistent Semi-Supervised Graph Regularization for High Dimensional Data
Xiaoyi Mai, Romain Couillet
Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions
Lili Zheng, Garvesh Raskutti, Rebecca Willett et al.
Continuous Time Analysis of Momentum Methods
Nikola B. Kovachki, Andrew M. Stuart
Contrastive Estimation Reveals Topic Posterior Information to Linear Models
Christopher Tosh, Akshay Krishnamurthy, Daniel Hsu
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
George Wynne, François-Xavier Briol, Mark Girolami
Convex Clustering: Model, Theoretical Guarantee and Efficient Algorithm
Defeng Sun, Kim-Chuan Toh, Yancheng Yuan
Convex Geometry and Duality of Over-parameterized Neural Networks
Tolga Ergen, Mert Pilanci