Papers
4,025 papers found
Provable Adversarial Robustness for Fractional Lp Threat Models
Alexander J. Levine, Soheil Feizi
Provable Continual Learning via Sketched Jacobian Approximations
Reinhard Heckel
Provable Lifelong Learning of Representations
Xinyuan Cao, Weiyang Liu, Santosh Vempala
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
Yulai Zhao, Yuandong Tian, Jason Lee et al.
Proximal Optimal Transport Modeling of Population Dynamics
Charlotte Bunne, Laetitia Papaxanthos, Andreas Krause et al.
Pulling back information geometry
Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin et al.
QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
Maxime Vono, Vincent Plassier, Alain Durmus et al.
Quadric Hypersurface Intersection for Manifold Learning in Feature Space
Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov et al.
Random Effect Bandits
Rong Zhu, Branislav Kveton
Randomized Stochastic Gradient Descent Ascent
Othmane Sebbouh, Marco Cuturi, Gabriel Peyré
Rapid Convergence of Informed Importance Tempering
Quan Zhou, Aaron Smith
Reconstructing Test Labels from Noisy Loss Functions
Abhinav Aggarwal, Shiva Kasiviswanathan, Zekun Xu et al.
Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise
Ashish Katiyar, Soumya Basu, Vatsal Shah et al.
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
Hung Tran-The, Sunil Gupta, Santu Rana et al.
Regret, stability & fairness in matching markets with bandit learners
Sarah H. Cen, Devavrat Shah
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi et al.
Rejection sampling from shape-constrained distributions in sublinear time
Sinho Chewi, Patrik R. Gerber, Chen Lu et al.
Relational Neural Markov Random Fields
Yuqiao Chen, Sriraam Natarajan, Nicholas Ruozzi
REPID: Regional Effect Plots with implicit Interaction Detection
Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio
Resampling Base Distributions of Normalizing Flows
Vincent Stimper, Bernhard Schölkopf, Jose Miguel Hernandez-Lobato
Reward-Free Policy Space Compression for Reinforcement Learning
Mirco Mutti, Stefano Del Col, Marcello Restelli
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
Charita Dellaporta, Jeremias Knoblauch, Theodoros Damoulas et al.
Robust Deep Learning from Crowds with Belief Propagation
Hoyoung Kim, Seunghyuk Cho, Dongwoo Kim et al.
Robustness and Reliability When Training With Noisy Labels
Amanda Olmin, Fredrik Lindsten
Robust Probabilistic Time Series Forecasting
Taeho Yoon, Youngsuk Park, Ernest K. Ryu et al.