Papers
Optimal Rates for Random Order Online Optimization
Uri Sherman, Tomer Koren, Yishay Mansour
Optimal Sketching for Trace Estimation
Shuli Jiang, Hai Pham, David Woodruff et al.
Optimal Underdamped Langevin MCMC Method
Zhengmian Hu, Feihu Huang, Heng Huang
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning
Ali Taghibakhshi, Scott MacLachlan, Luke Olson et al.
Optimizing Conditional Value-At-Risk of Black-Box Functions
Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low et al.
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD
Bohan Wang, Huishuai Zhang, Jieyu Zhang et al.
Optimizing Reusable Knowledge for Continual Learning via Metalearning
Julio Hurtado, Alain Raymond, Alvaro Soto
Oracle Complexity in Nonsmooth Nonconvex Optimization
Guy Kornowski, Ohad Shamir
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure
Aviv Rosenberg, Yishay Mansour
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci et al.
Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner, Vitchyr Pong, Rowan McAllister et al.
Out-of-Distribution Generalization in Kernel Regression
Abdulkadir Canatar, Blake Bordelon, Cengiz Pehlevan
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
Guangyuan SHI, JIAXIN CHEN, Wenlong Zhang et al.
Overcoming the Convex Barrier for Simplex Inputs
Harkirat Singh Behl, M. Pawan Kumar, Philip Torr et al.
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning
Vivien Cabannes, Loucas Pillaud-Vivien, Francis R. Bach et al.
Overinterpretation reveals image classification model pathologies
Brandon Carter, Siddhartha Jain, Jonas W Mueller et al.
Overlapping Spaces for Compact Graph Representations
Kirill Shevkunov, Liudmila Prokhorenkova
Overparameterization Improves Robustness to Covariate Shift in High Dimensions
Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington
Panoptic 3D Scene Reconstruction From a Single RGB Image
Manuel Dahnert, Ji Hou, Matthias Niessner et al.
Parallel and Efficient Hierarchical k-Median Clustering
Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard et al.
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Samuel Daulton, Maximilian Balandat, Eytan Bakshy
Parallelizing Thompson Sampling
Amin Karbasi, Vahab Mirrokni, Mohammad Shadravan
Parameter-free HE-friendly Logistic Regression
Junyoung Byun, Woojin Lee, Jaewook Lee
Parameter Inference with Bifurcation Diagrams
Gregory Szep, Neil Dalchau, Attila Csikász-Nagy