Papers
4,025 papers found
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions
Thomas M. Mcdonald, Magnus Ross, Michael T. Smith et al.
Nonparametric Indirect Active Learning
Shashank Singh
Nonstationary Bandit Learning via Predictive Sampling
Yueyang Liu, Benjamin Van Roy, Kuang Xu
Nonstochastic Contextual Combinatorial Bandits
Lukas Zierahn, Dirk van der Hoeven, Nicolò Cesa-Bianchi et al.
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution
Mengxiao Zhang, Shi Chen, Haipeng Luo et al.
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities
Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo et al.
Nothing but Regrets — Privacy-Preserving Federated Causal Discovery
Osman Mian, David Kaltenpoth, Michael Kamp et al.
No time to waste: practical statistical contact tracing with few low-bit messages
Rob Romijnders, Yuki M. Asano, Christos Louizos et al.
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
Xiangyu Sun, Oliver Schulte, Guiliang Liu et al.
Nyström Method for Accurate and Scalable Implicit Differentiation
Ryuichiro Hataya, Makoto Yamada
Oblivious near-optimal sampling for multidimensional signals with Fourier constraints
Xingyu Xu, Yuantao Gu
On-Demand Communication for Asynchronous Multi-Agent Bandits
Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang et al.
On double-descent in uncertainty quantification in overparametrized models
Lucas Clarte, Bruno Loureiro, Florent Krzakala et al.
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
Pierre Gaillard, Aadirupa Saha, Soham Dan
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning
Pedro Cisneros-Velarde, Boxiang Lyu, Sanmi Koyejo et al.
On Generalization of Decentralized Learning with Separable Data
Hossein Taheri, Christos Thrampoulidis
Online Algorithms with Costly Predictions
Marina Drygala, Sai Ganesh Nagarajan, Ola Svensson
Online Defense Strategies for Reinforcement Learning Against Adaptive Reward Poisoning
Andi Nika, Adish Singla, Goran Radanovic
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback
Qixin Zhang, Zengde Deng, Zaiyi Chen et al.
Online Learning for Traffic Routing under Unknown Preferences
Devansh Jalota, Karthik Gopalakrishnan, Navid Azizan et al.
Online Linearized LASSO
Shuoguang Yang, Yuhao Yan, Xiuneng Zhu et al.
On Model Selection Consistency of Lasso for High-Dimensional Ising Models
Xiangming Meng, Tomoyuki Obuchi, Yoshiyuki Kabashima
On the Accelerated Noise-Tolerant Power Method
Zhiqiang Xu
On the bias of K-fold cross validation with stable learners
Anass Aghbalou, Anne Sabourin, François Portier
On the Calibration of Probabilistic Classifier Sets
Thomas Mortier, Viktor Bengs, Eyke Hüllermeier et al.