Papers
4,025 papers found
Online learning with feedback graphs and switching costs
Anshuka Rangi, Massimo Franceschetti
Online Multiclass Boosting with Bandit Feedback
Daniel T. Zhang, Young Hun Jung, Ambuj Tewari
On Structure Priors for Learning Bayesian Networks
Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa et al.
On Target Shift in Adversarial Domain Adaptation
Yitong Li, Michael Murias, Samantha Major et al.
On the Connection Between Learning Two-Layer Neural Networks and Tensor Decomposition
Marco Mondelli, Andrea Montanari
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
Xiaoyu Li, Francesco Orabona
On the Dynamics of Gradient Descent for Autoencoders
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
On the Interaction Effects Between Prediction and Clustering
Matt Barnes, Artur Dubrawski
On Theory for BART
Veronika Ročková, Enakshi Saha
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
Seyoon Ko, Joong-Ho Won
Optimal Noise-Adding Mechanism in Additive Differential Privacy
Quan Geng, Wei Ding, Ruiqi Guo et al.
Optimal Testing in the Experiment-rich Regime
Sven Schmit, Virag Shah, Ramesh Johari
Optimal Transport for Multi-source Domain Adaptation under Target Shift
Ievgen Redko, Nicolas Courty, Rémi Flamary et al.
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
Emanuel Laude, Tao Wu, Daniel Cremers
Optimizing over a Restricted Policy Class in MDPs
Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh et al.
Orthogonal Estimation of Wasserstein Distances
Mark Rowland, Jiri Hron, Yunhao Tang et al.
Overcomplete Independent Component Analysis via SDP
Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein et al.
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs
Alexander Bauer, Shinichi Nakajima, Nico Goernitz et al.
Pathwise Derivatives for Multivariate Distributions
Martin Jankowiak, Theofanis Karaletsos
Performance Metric Elicitation from Pairwise Classifier Comparisons
Gaurush Hiranandani, Shant Boodaghians, Ruta Mehta et al.
Precision Matrix Estimation with Noisy and Missing Data
Roger Fan, Byoungwook Jang, Yuekai Sun et al.
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport
Adarsh Subbaswamy, Peter Schulam, Suchi Saria
Probabilistic Forecasting with Spline Quantile Function RNNs
Jan Gasthaus, Konstantinos Benidis, Yuyang Wang et al.