Papers
938 papers found
PoRB-Nets: Poisson Process Radial Basis Function Networks
Beau Coker, Melanie Fernandez Pradier, Finale Doshi-Velez
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles
Tárik S. Salem, Helge Langseth, Heri Ramampiaro
Probabilistic Safety for Bayesian Neural Networks
Matthew Wicker, Luca Laurenti, Andrea Patane et al.
Provably Efficient Third-Person Imitation from Offline Observation
Aaron Zweig, Joan Bruna
Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
Tengyang Xie, Nan Jiang
Randomized Exploration for Non-Stationary Stochastic Linear Bandits
Baekjin Kim, Ambuj Tewari
Regret Analysis of Bandit Problems with Causal Background Knowledge
Yangyi Lu, Amirhossein Meisami, Ambuj Tewari et al.
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems
Seyed Mohammad Asghari, Yi Ouyang, Ashutosh Nayyar
Risk Bounds for Low Cost Bipartite Ranking
San Gultekin, John Paisley
Robust $k$-means++
Amit Deshpande, Praneeth Kacham, Rameshwar Pratap
Robust Collective Classification against Structural Attacks
Kai Zhou, Yevgeniy Vorobeychik
Robust contrastive learning and nonlinear ICA in the presence of outliers
Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti et al.
Robust modal regression with direct gradient approximation of modal regression risk
Hiroaki Sasaki, Tomoya Sakai, Takafumi Kanamori
Robust Spatial-Temporal Incident Prediction
Ayan Mukhopadhyay, Kai Wang, Andrew Perrault et al.
Selling Data at an Auction under Privacy Constraints
Mengxiao Zhang, Fernando Beltran, Jiamou Liu
Semi-bandit Optimization in the Dispersed Setting
Maria-Florina Balcan, Travis Dick, Wesley Pegden
Semi-supervised learning, causality, and the conditional cluster assumption
Julius Kügelgen, Alexander Mey, Marco Loog et al.
Semi-supervised Sequential Generative Models
Michael Teng, Tuan Anh Le, Adam Scibior et al.
Sensor Placement for Spatial Gaussian Processes with Integral Observations
Krista Longi, Chang Rajani, Tom Sillanpää et al.
Skewness Ranking Optimization for Personalized Recommendation
Chuan-Ju Wang, Yu-Neng Chuang, Chih-Ming Chen et al.
Slice Sampling for General Completely Random Measures
Peiyuan Zhu, Alexandre Bouchard-Cote, Trevor Campbell
Spectral Methods for Ranking with Scarce Data
Lalit Jain, Anna Gilbert, Umang Varma