Papers
4,025 papers found
Robustness Guarantees for Density Clustering
Heinrich Jiang, Jennifer Jang, Ofir Nachum
Rotting bandits are no harder than stochastic ones
Julien Seznec, Andrea Locatelli, Alexandra Carpentier et al.
Safe Convex Learning under Uncertain Constraints
Ilnura Usmanova, Andreas Krause, Maryam Kamgarpour
Sample Complexity of Sinkhorn Divergences
Aude Genevay, Lénaïc Chizat, Francis Bach et al.
Sample Efficient Graph-Based Optimization with Noisy Observations
Thanh Tan Nguyen, Ali Shameli, Yasin Abbasi-Yadkori et al.
Sample-Efficient Imitation Learning via Generative Adversarial Nets
Lionel Blondé, Alexandros Kalousis
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics
Difan Zou, Pan Xu, Quanquan Gu
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
Marcel Hirt, Petros Dellaportas
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees
Jonathan H. Huggins, Trevor Campbell, Mikolaj Kasprzak et al.
Scalable High-Order Gaussian Process Regression
Shandian Zhe, Wei Xing, Robert M. Kirby
Scalable Thompson Sampling via Optimal Transport
Ruiyi Zhang, Zheng Wen, Changyou Chen et al.
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
Julius Kügelgen, Alexander Mey, Marco Loog
Semi-supervised clustering for de-duplication
Shrinu Kushagra, Shai Ben-David, Ihab Ilyas
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows
George Papamakarios, David Sterratt, Iain Murray
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials
Onur Atan, William R. Zame, Mihaela Schaar
Sharp Analysis of Learning with Discrete Losses
Alex Nowak, Francis Bach, Alessandro Rudi
Size of Interventional Markov Equivalence Classes in random DAG models
Dmitriy Katz, Karthikeyan Shanmugam, Chandler Squires et al.
Sketching for Latent Dirichlet-Categorical Models
Joseph Tassarotti, Jean-Baptiste Tristan, Michael Wick
SMOGS: Social Network Metrics of Game Success
Fan Bu, Sonia Xu, Katherine Heller et al.
Sobolev Descent
Youssef Mroueh, Tom Sercu, Anant Raj
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
Alexander F. Lapanowski, Irina Gaynanova
Sparse Multivariate Bernoulli Processes in High Dimensions
Parthe Pandit, Mojtaba Sahraee-Ardakan, Arash Amini et al.
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity
Luca Ambrogioni, Patrick Ebel, Max Hinne et al.
SPONGE: A generalized eigenproblem for clustering signed networks
Mihai Cucuringu, Peter Davies, Aldo Glielmo et al.
Statistical Learning under Nonstationary Mixing Processes
Steve Hanneke, Liu Yang