Papers
2,121 papers found
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
S. M. Ali Eslami, Nicolas Heess, Theophane Weber et al.
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph, Michael Kearns, Jamie H Morgenstern et al.
Unsupervised Risk Estimation Using Only Conditional Independence Structure
Jacob Steinhardt, Percy Liang
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gómez et al.
Model-Powered Conditional Independence Test
Rajat Sen, Ananda Theertha Suresh, Karthikeyan Shanmugam et al.
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
Mert Gurbuzbalaban, Asuman Ozdaglar, Pablo A Parrilo et al.
Collaborative PAC Learning
Avrim Blum, Nika Haghtalab, Ariel D Procaccia et al.
Statistical Cost Sharing
Eric Balkanski, Umar Syed, Sergei Vassilvitskii
Independence clustering (without a matrix)
Daniil Ryabko
Robust Conditional Probabilities
Yoav Wald, Amir Globerson
VAE Learning via Stein Variational Gradient Descent
Yuchen Pu, Zhe Gan, Ricardo Henao et al.
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
Action Centered Contextual Bandits
Kristjan Greenewald, Ambuj Tewari, Susan Murphy et al.
Cost efficient gradient boosting
Sven Peter, Ferran Diego, Fred A. Hamprecht et al.
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
Ziming Zhang, Matthew Brand
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
Ahmet Alacaoglu, Quoc Tran Dinh, Olivier Fercoq et al.
Context Selection for Embedding Models
Liping Liu, Francisco Ruiz, Susan Athey et al.
Concrete Dropout
Yarin Gal, Jiri Hron, Alex Kendall
Rotting Bandits
Nir Levine, Koby Crammer, Shie Mannor
Geometric Descent Method for Convex Composite Minimization
Shixiang Chen, Shiqian Ma, Wei Liu
Multi-Task Learning for Contextual Bandits
Aniket Anand Deshmukh, Urun Dogan, Clay Scott
Dynamic-Depth Context Tree Weighting
Joao V Messias, Shimon Whiteson
Fitting Low-Rank Tensors in Constant Time
Kohei Hayashi, Yuichi Yoshida