Papers
On Efficient Low Distortion Ultrametric Embedding
Vincent Cohen-Addad, Karthik C. S., Guillaume Lagarde
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control
Wenlong Huang, Igor Mordatch, Deepak Pathak
One-shot Distributed Ridge Regression in High Dimensions
Yue Sheng, Edgar Dobriban
One Size Fits All: Can We Train One Denoiser for All Noise Levels?
Abhiram Gnanasambandam, Stanley Chan
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin, Chi Jin, Michael Jordan
On hyperparameter tuning in general clustering problemsm
Xinjie Fan, Yuguang Yue, Purnamrita Sarkar et al.
On Implicit Regularization in $β$-VAEs
Abhishek Kumar, Ben Poole
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He et al.
On Learning Language-Invariant Representations for Universal Machine Translation
Han Zhao, Junjie Hu, Andrej Risteski
On Learning Sets of Symmetric Elements
Haggai Maron, Or Litany, Gal Chechik et al.
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao, Yulai Cong, Lawrence Carin
Online Bayesian Moment Matching based SAT Solver Heuristics
Haonan Duan, Saeed Nejati, George Trimponias et al.
Online Continual Learning from Imbalanced Data
Aristotelis Chrysakis, Marie-Francine Moens
Online Control of the False Coverage Rate and False Sign Rate
Asaf Weinstein, Aaditya Ramdas
Online Convex Optimization in the Random Order Model
Dan Garber, Gal Korcia, Kfir Levy
Online Dense Subgraph Discovery via Blurred-Graph Feedback
Yuko Kuroki, Atsushi Miyauchi, Junya Honda et al.
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia, Eugene Belilovsky, Massimo Caccia et al.
Online Learning for Active Cache Synchronization
Andrey Kolobov, Sebastien Bubeck, Julian Zimmert
Online Learning with Dependent Stochastic Feedback Graphs
Corinna Cortes, Giulia Desalvo, Claudio Gentile et al.
Online Learning with Imperfect Hints
Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar et al.
Online metric algorithms with untrusted predictions
Antonios Antoniadis, Christian Coester, Marek Elias et al.
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang, Nick Harvey, Victor Portella et al.
Online Multi-Kernel Learning with Graph-Structured Feedback
Pouya M Ghari, Yanning Shen
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Jinzhi Bu, David Simchi-Levi, Yunzong Xu
On Lp-norm Robustness of Ensemble Decision Stumps and Trees
Yihan Wang, Huan Zhang, Hongge Chen et al.