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Publication search results
found 244 matches
- 2023
- Lingxiao Wang, Bargav Jayaraman, David Evans, Quanquan Gu:
Efficient Privacy-Preserving Stochastic Nonconvex Optimization. UAI 2023: 2203-2213 - Zhiming Huang, Jianping Pan:
A near-optimal high-probability swap-Regret upper bound for multi-agent bandits in unknown general-sum games. UAI 2023: 911-921 - Saurabh Mathur, Vibhav Gogate, Sriraam Natarajan:
Knowledge Intensive Learning of Cutset Networks. UAI 2023: 1380-1389 - Jiazheng Li, Zhaoyue Sun, Bin Liang, Lin Gui, Yulan He:
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. UAI 2023: 1253-1262 - Yang You, Vincent Thomas, Francis Colas, Olivier Buffet:
Monte-Carlo Search for an Equilibrium in Dec-POMDPs. UAI 2023: 2444-2453 - Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang:
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. UAI 2023: 2586-2596 - Sami Abu-El-Haija, Joshua V. Dillon, Bahare Fatemi, Kyriakos Axiotis, Neslihan Bulut, Johannes Gasteiger, Bryan Perozzi, MohammadHossein Bateni:
SubMix: Learning to Mix Graph Sampling Heuristics. UAI 2023: 1-10 - Idan Achituve, Gal Chechik, Ethan Fetaya:
Guided Deep Kernel Learning. UAI 2023: 11-21 - Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni:
Bounding the optimal value function in compositional reinforcement learning. UAI 2023: 22-32 - Sakshi Agarwal, Gabriel Hope, Ali Younis, Erik B. Sudderth:
A decoder suffices for query-adaptive variational inference. UAI 2023: 33-44 - Md I. I. Alam, Koushik Kar, Theodoros Salonidis, Horst Samulowitz:
FLASH: Automating federated learning using CASH. UAI 2023: 45-55 - Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh:
Transfer learning for individual treatment effect estimation. UAI 2023: 56-66 - Daniel Andrade, Akiko Takeda:
Robust Gaussian process regression with the trimmed marginal likelihood. UAI 2023: 67-76 - Shuang Ao, Stefan Rueger, Advaith Siddharthan:
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. UAI 2023: 77-87 - Viplove Arora, Daniele Irto, Sebastian Goldt, Guido Sanguinetti:
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. UAI 2023: 88-98 - Argenis Arriojas, Jacob Adamczyk, Stas Tiomkin, Rahul V. Kulkarni:
Bayesian inference approach for entropy regularized reinforcement learning with stochastic dynamics. UAI 2023: 99-109 - Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Mikhail Belkin:
Neural tangent kernel at initialization: linear width suffices. UAI 2023: 110-118 - Christine W. Bang, Vanessa Didelez:
Do we become wiser with time? On causal equivalence with tiered background knowledge. UAI 2023: 119-129 - Baptiste Bauvin, Cécile Capponi, Florence Clerc, Pascal Germain, Sokol Koço, Jacques Corbeil:
Sample Boosting Algorithm (SamBA) - An interpretable greedy ensemble classifier based on local expertise for fat data. UAI 2023: 130-140 - Alessio Benavoli, Dario Azzimonti, Dario Piga:
Learning Choice Functions with Gaussian Processes. UAI 2023: 141-151 - Petra Berenbrink, Max Hahn-Klimroth, Dominik Kaaser, Lena Krieg, Malin Rau:
Inference of a rumor's source in the independent cascade model. UAI 2023: 152-162 - Anirban Bhattacharjee, Sushant Vijayan, Sandeep Juneja:
Best arm identification in rare events. UAI 2023: 163-172 - Valentin Bieri, Paul Streli, Berken Utku Demirel, Christian Holz:
BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation. UAI 2023: 173-183 - Matthias Bitzer, Mona Meister, Christoph Zimmer:
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. UAI 2023: 184-194 - Philip A. Boeken, Noud de Kroon, Mathijs de Jong, Joris M. Mooij, Onno Zoeter:
Correcting for selection bias and missing response in regression using privileged information. UAI 2023: 195-205 - Kartheek Bondugula, Santiago Mazuelas, Aritz Pérez:
Efficient Learning of Minimax Risk Classifiers in High Dimensions. UAI 2023: 206-215 - Louenas Bounia, Frédéric Koriche:
Approximating probabilistic explanations via supermodular minimization. UAI 2023: 216-225 - Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth:
Inference for mark-censored temporal point processes. UAI 2023: 226-236 - Noah Burrell, Grant Schoenebeck:
Testing conventional wisdom (of the crowd). UAI 2023: 237-248 - Runlin Cao, Zhixin Li:
Overcoming Language Priors for Visual Question Answering via Loss Rebalancing Label and Global Context. UAI 2023: 249-259
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