Papers
Reinforcement Learning for Mean Field Games with Strategic Complementarities
Kiyeob Lee, Desik Rengarajan, Dileep Kalathil et al.
Reinforcement Learning in Parametric MDPs with Exponential Families
Sayak Ray Chowdhury, Aditya Gopalan, Odalric-Ambrym Maillard
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
Chong Liu, Yuqing Zhu, Kamalika Chaudhuri et al.
Revisiting Projection-free Online Learning: the Strongly Convex Case
Ben Kretzu, Dan Garber
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
Peiyuan Zhang, Antonio Orvieto, Hadi Daneshmand et al.
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
Shengjia Zhao, Stefano Ermon
Robust and Private Learning of Halfspaces
Badih Ghazi, Ravi Kumar, Pasin Manurangsi et al.
Robust hypothesis testing and distribution estimation in Hellinger distance
Ananda Theertha Suresh
Robust Imitation Learning from Noisy Demonstrations
Voot Tangkaratt, Nontawat Charoenphakdee, Masashi Sugiyama
Robust Learning under Strong Noise via SQs
Ioannis Anagnostides, Themis Gouleakis, Ali Marashian
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
Lunjia Hu, Omer Reingold
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
Tengyu Xu, Yingbin Liang
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
Roberto Vega, Pouneh Gorji, Zichen Zhang et al.
Sample Elicitation
Jiaheng Wei, Zuyue Fu, Yang Liu et al.
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
Priyank Jaini, Didrik Nielsen, Max Welling
Scalable Constrained Bayesian Optimization
David Eriksson, Matthias Poloczek
Scalable Gaussian Process Variational Autoencoders
Metod Jazbec, Matt Ashman, Vincent Fortuin et al.
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
Hyun-Suk Lee, Cong Shen, William Zame et al.
Selective Classification via One-Sided Prediction
Aditya Gangrade, Anil Kag, Venkatesh Saligrama
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
Yoan Russac, Louis Faury, Olivier Cappé et al.
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
Qadeer Khan, Patrick Wenzel, Daniel Cremers
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
Alessio Mazzetto, Dylan Sam, Andrew Park et al.
Semi-Supervised Learning with Meta-Gradient
Taihong Xiao, Xin-Yu Zhang, Haolin Jia et al.