Papers
State Aggregation Learning from Markov Transition Data
Yaqi Duan, Tracy Ke, Mengdi Wang
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Xiaoyi Gu, Leman Akoglu, Alessandro Rinaldo
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Gonzalo Mena, Jonathan Niles-Weed
Statistical-Computational Tradeoff in Single Index Models
Lingxiao Wang, Zhuoran Yang, Zhaoran Wang
Statistical Model Aggregation via Parameter Matching
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh et al.
Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling
Andrey Kolobov, Yuval Peres, Cheng Lu et al.
Stein Variational Gradient Descent With Matrix-Valued Kernels
Dilin Wang, Ziyang Tang, Chandrajit Bajaj et al.
Stochastic Bandits with Context Distributions
Johannes Kirschner, Andreas Krause
Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match
Amin Karbasi, Hamed Hassani, Aryan Mokhtari et al.
Stochastic Frank-Wolfe for Composite Convex Minimization
Francesco Locatello, Alp Yurtsever, Olivier Fercoq et al.
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction
Difan Zou, Pan Xu, Quanquan Gu
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates
Adil SALIM, Dmitry Kovalev, Peter Richtarik
Stochastic Runge-Kutta Accelerates Langevin Monte Carlo and Beyond
Xuechen Li, Yi Wu, Lester Mackey et al.
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu, Shuqing Li, Cho-Jui Hsieh et al.
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization
Adithya M Devraj, Jianshu Chen
Strategizing against No-regret Learners
Yuan Deng, Jon Schneider, Balasubramanian Sivan
Streaming Bayesian Inference for Crowdsourced Classification
Edoardo Manino, Long Tran-Thanh, Nicholas Jennings
STREETS: A Novel Camera Network Dataset for Traffic Flow
Corey Snyder, Minh Do
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Dina Obeid, Hugo Ramambason, Cengiz Pehlevan
Structured Graph Learning Via Laplacian Spectral Constraints
Sandeep Kumar, Jiaxi Ying, Jose Vinicius de Miranda Cardoso et al.
Structured Prediction with Projection Oracles
Mathieu Blondel
Structured Variational Inference in Continuous Cox Process Models
Virginia Aglietti, Edwin V. Bonilla, Theodoros Damoulas et al.
Structure Learning with Side Information: Sample Complexity
Saurabh Sihag, Ali Tajer
Subquadratic High-Dimensional Hierarchical Clustering
Amir Abboud, Vincent Cohen-Addad, Hussein Houdrouge