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Publication search results
found 361 matches
- 2019
- Alexander Bauer, Shinichi Nakajima, Nico Görnitz, Klaus-Robert Müller:
Partial Optimality of Dual Decomposition for MAP Inference in Pairwise MRFs. AISTATS 2019: 1696-1703 - Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang:
Recovery Guarantees For Quadratic Tensors With Sparse Observations. AISTATS 2019: 3322-3332 - Lin Chen, Mingrui Zhang, Amin Karbasi:
Projection-Free Bandit Convex Optimization. AISTATS 2019: 2047-2056 - Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie:
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit. AISTATS 2019: 418-427 - Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvári:
Model-Free Linear Quadratic Control via Reduction to Expert Prediction. AISTATS 2019: 3108-3117 - Pierre Ablin, Alexandre Gramfort, Jean-François Cardoso, Francis R. Bach:
Stochastic algorithms with descent guarantees for ICA. AISTATS 2019: 1564-1573 - Jayadev Acharya, Clément L. Canonne, Cody Freitag, Himanshu Tyagi:
Test without Trust: Optimal Locally Private Distribution Testing. AISTATS 2019: 2067-2076 - Jayadev Acharya, Ziteng Sun, Huanyu Zhang:
Hadamard Response: Estimating Distributions Privately, Efficiently, and with Little Communication. AISTATS 2019: 1120-1129 - Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann:
Local Saddle Point Optimization: A Curvature Exploitation Approach. AISTATS 2019: 486-495 - Virginia Aglietti, Theodoros Damoulas, Edwin V. Bonilla:
Efficient Inference in Multi-task Cox Process Models. AISTATS 2019: 537-546 - Raj Agrawal, Trevor Campbell, Jonathan H. Huggins, Tamara Broderick:
Data-dependent compression of random features for large-scale kernel approximation. AISTATS 2019: 1822-1831 - Raj Agrawal, Chandler Squires, Karren D. Yang, Karthikeyan Shanmugam, Caroline Uhler:
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery. AISTATS 2019: 3400-3409 - Alnur Ali, J. Zico Kolter, Ryan J. Tibshirani:
A Continuous-Time View of Early Stopping for Least Squares Regression. AISTATS 2019: 1370-1378 - David Alvarez-Melis, Stefanie Jegelka, Tommi S. Jaakkola:
Towards Optimal Transport with Global Invariances. AISTATS 2019: 1870-1879 - Mauricio A. Álvarez, Wil O. C. Ward, Cristian Guarnizo:
Non-linear process convolutions for multi-output Gaussian processes. AISTATS 2019: 1969-1977 - Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi:
Fisher Information and Natural Gradient Learning in Random Deep Networks. AISTATS 2019: 694-702 - Luca Ambrogioni, Patrick Ebel, Max Hinne, Umut Güçlü, Marcel van Gerven, Eric Maris:
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity. AISTATS 2019: 787-795 - Luca Ambrogioni, Umut Güçlü, Julia Berezutskaya, Eva W. P. van den Borne, Yagmur Güçlütürk, Max Hinne, Eric Maris, Marcel van Gerven:
Forward Amortized Inference for Likelihood-Free Variational Marginalization. AISTATS 2019: 777-786 - Ehsan Amid, Manfred K. Warmuth, Sriram Srinivasan:
Two-temperature logistic regression based on the Tsallis divergence. AISTATS 2019: 2388-2396 - Nima Anari, Nika Haghtalab, Seffi Naor, Sebastian Pokutta, Mohit Singh, Alfredo Torrico:
Structured Robust Submodular Maximization: Offline and Online Algorithms. AISTATS 2019: 3128-3137 - Daniel Andrade, Yuzuru Okajima:
Efficient Bayes Risk Estimation for Cost-Sensitive Classification. AISTATS 2019: 3372-3381 - Randy Ardywibowo, Guang Zhao, Zhangyang Wang, Bobak Mortazavi, Shuai Huang, Xiaoning Qian:
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models. AISTATS 2019: 266-275 - Georgios Arvanitidis, Søren Hauberg, Philipp Hennig, Michael Schober:
Fast and Robust Shortest Paths on Manifolds Learned from Data. AISTATS 2019: 1506-1515 - Hilal Asi, John C. Duchi:
Modeling simple structures and geometry for better stochastic optimization algorithms. AISTATS 2019: 2425-2434 - Onur Atan, William R. Zame, Mihaela van der Schaar:
Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. AISTATS 2019: 1891-1900 - Ershad Banijamali, Yasin Abbasi-Yadkori, Mohammad Ghavamzadeh, Nikos Vlassis:
Optimizing over a Restricted Policy Class in MDPs. AISTATS 2019: 3042-3050 - Matt Barnes, Artur Dubrawski:
On the Interaction Effects Between Prediction and Clustering. AISTATS 2019: 118-126 - Kevin Bascol, Rémi Emonet, Élisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban:
From Cost-Sensitive to Tight F-measure Bounds. AISTATS 2019: 1245-1253 - Raef Bassily:
Linear Queries Estimation with Local Differential Privacy. AISTATS 2019: 721-729 - Matthias Bauer, Andriy Mnih:
Resampled Priors for Variational Autoencoders. AISTATS 2019: 66-75
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