Papers
4,025 papers found
Block Stability for MAP Inference
Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Boosting Transfer Learning with Survival Data from Heterogeneous Domains
Alexis Bellot, Mihaela van der Schaar
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause
Bridging the gap between regret minimization and best arm identification, with application to A/B tests
Rémy Degenne, Thomas Nedelec, Clement Calauzenes et al.
Calibrating Deep Convolutional Gaussian Processes
Gia-Lac Tran, Edwin V. Bonilla, John Cunningham et al.
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
Peter Schulam, Suchi Saria
Causal Discovery in the Presence of Missing Data
Ruibo Tu, Cheng Zhang, Paul Ackermann et al.
Classification using margin pursuit
Matthew J. Holland
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling
Angelo Porrello, Davide Abati, Simone Calderara et al.
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
Alexander Lin, Yingzhuo Zhang, Jeremy Heng et al.
Complexities in Projection-Free Stochastic Non-convex Minimization
Zebang Shen, Cong Fang, Peilin Zhao et al.
Computation Efficient Coded Linear Transform
Sinong Wang, Jiashang Liu, Ness Shroff et al.
Conditionally Independent Multiresolution Gaussian Processes
Jalil Taghia, Thomas Schön
Conditional Sparse $L_p$-norm Regression With Optimal Probability
John Hainline, Brendan Juba, Hai S. Le et al.
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth, Prateek Yadav, Manik Bhandari et al.
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes
Tongfei Chen, Jiri Navratil, Vijay Iyengar et al.
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
Guillaume Rabusseau, Tianyu Li, Doina Precup
Conservative Exploration using Interleaving
Sumeet Katariya, Branislav Kveton, Zheng Wen et al.
Consistent Online Optimization: Convex and Submodular
Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi et al.
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective
Anirudh Vemula, Wen Sun, J. Bagnell
Convergence of Gradient Descent on Separable Data
Mor Shpigel Nacson, Jason Lee, Suriya Gunasekar et al.
Correcting the bias in least squares regression with volume-rescaled sampling
Michal Derezinski, Manfred K. Warmuth, Daniel Hsu
Correspondence Analysis Using Neural Networks
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon
Cost aware Inference for IoT Devices
Pengkai Zhu, Durmus Alp Emre Acar, Nan Feng et al.
Credit Assignment Techniques in Stochastic Computation Graphs
Théophane Weber, Nicolas Heess, Lars Buesing et al.