Papers
Optimal Streaming Algorithms for Multi-Armed Bandits
Tianyuan Jin, Keke Huang, Jing Tang et al.
Optimal Thompson Sampling strategies for support-aware CVaR bandits
Dorian Baudry, Romain Gautron, Emilie Kaufmann et al.
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu Nguyen, Tam Le, Makoto Yamada et al.
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth
Keyulu Xu, Mozhi Zhang, Stefanie Jegelka et al.
Optimization Planning for 3D ConvNets
Zhaofan Qiu, Ting Yao, Chong-Wah Ngo et al.
Optimizing Black-box Metrics with Iterative Example Weighting
Gaurush Hiranandani, Jatin Mathur, Harikrishna Narasimhan et al.
Optimizing persistent homology based functions
Mathieu Carriere, Frederic Chazal, Marc Glisse et al.
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
Cunxiao Du, Zhaopeng Tu, Jing Jiang
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen, Xu Han, Jiajing Hu et al.
Outlier-Robust Optimal Transport
Debarghya Mukherjee, Aritra Guha, Justin M Solomon et al.
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen et al.
Outside the Echo Chamber: Optimizing the Performative Risk
John P Miller, Juan C Perdomo, Tijana Zrnic
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization
Pei-Hung Chen, Wei Wei, Cho-Jui Hsieh et al.
PAC-Learning for Strategic Classification
Ravi Sundaram, Anil Vullikanti, Haifeng Xu et al.
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss, Vincent Fortuin, Martin Josifoski et al.
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization
Zhize Li, Hongyan Bao, Xiangliang Zhang et al.
PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang, Gautam Kamath, Rachel Cummings
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics
Vivek Jayaram, John Thickstun
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
Tung-Che Liang, Jin Zhou, Yun-Sheng Chan et al.
Parallelizing Legendre Memory Unit Training
Narsimha Reddy Chilkuri, Chris Eliasmith
Parallel tempering on optimized paths
Saifuddin Syed, Vittorio Romaniello, Trevor Campbell et al.
Parameter-free Locally Accelerated Conditional Gradients
Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin et al.
Parameterless Transductive Feature Re-representation for Few-Shot Learning
Wentao Cui, Yuhong Guo
Parametric Graph for Unimodal Ranking Bandit
Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont et al.
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy Cohen, Zinan Lin et al.