Papers
4,025 papers found
Nonparametric Preference Completion
Julian Katz-Samuels, Clayton Scott
Nonparametric Sharpe Ratio Function Estimation in Heteroscedastic Regression Models via Convex Optimization
Seung-Jean Kim, Johan Lim, Joong-Ho Won
On denoising modulo 1 samples of a function
Mihai Cucuringu, Hemant Tyagi
One-shot Coresets: The Case of k-Clustering
Olivier Bachem, Mario Lucic, Silvio Lattanzi
Online Boosting Algorithms for Multi-label Ranking
Young Hun Jung, Ambuj Tewari
Online Continuous Submodular Maximization
Lin Chen, Hamed Hassani, Amin Karbasi
Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments
Yanning Shen, Tianyi Chen, Georgios Giannakis
Online Learning with Non-Convex Losses and Non-Stationary Regret
Xiand Gao, Xiaobo Li, Shuzhong Zhang
Online Regression with Partial Information: Generalization and Linear Projection
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
On Statistical Optimality of Variational Bayes
Debdeep Pati, Anirban Bhattacharya, Yun Yang
On the challenges of learning with inference networks on sparse, high-dimensional data
Rahul Krishnan, Dawen Liang, Matthew Hoffman
On the Statistical Efficiency of Compositional Nonparametric Prediction
Yixi Xu, Jean Honorio, Xiao Wang
On Truly Block Eigensolvers via Riemannian Optimization
Zhiqiang Xu, Xin Gao
Optimal Cooperative Inference
Scott Cheng-Hsin Yang, Yue Yu, arash Givchi et al.
Optimality of Approximate Inference Algorithms on Stable Instances
Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Optimal Submodular Extensions for Marginal Estimation
Pankaj Pansari, Chris Russell, M Pawan Kumar
Outlier Detection and Robust Estimation in Nonparametric Regression
Dehan Kong, Howard Bondell, Weining Shen
Parallel and Distributed MCMC via Shepherding Distributions
Arkabandhu Chowdhury, Christopher Jermaine
Parallelised Bayesian Optimisation via Thompson Sampling
Kirthevasan Kandasamy, Akshay Krishnamurthy, Jeff Schneider et al.
Personalized and Private Peer-to-Peer Machine Learning
Aurélien Bellet, Rachid Guerraoui, Mahsa Taziki et al.
Plug-in Estimators for Conditional Expectations and Probabilities
Steffen Grunewalder
Policy Evaluation and Optimization with Continuous Treatments
Nathan Kallus, Angela Zhou
Post Selection Inference with Kernels
Makoto Yamada, Yuta Umezu, Kenji Fukumizu et al.
Practical Bayesian optimization in the presence of outliers
Ruben Martinez-Cantin, Kevin Tee, Michael McCourt