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Publication search results
found 3,923 matches
- 2023
- Sebastian Gruber, Florian Buettner:
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition. AISTATS 2023: 11331-11354 - Matthias Rath, Alexandru Paul Condurache:
Deep Neural Networks with Efficient Guaranteed Invariances. AISTATS 2023: 2460-2480 - Xingyu Xu, Yuantao Gu:
Oblivious near-optimal sampling for multidimensional signals with Fourier constraints. AISTATS 2023: 4532-4555 - Xingyu Xu, Yuantao Gu:
Benign overfitting of non-smooth neural networks beyond lazy training. AISTATS 2023: 11094-11117 - Ben London, Levi Lu, Ted Sandler, Thorsten Joachims:
Boosted Off-Policy Learning. AISTATS 2023: 5614-5640 - Hussein Hazimeh, Natalia Ponomareva:
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets. AISTATS 2023: 3018-3033 - Yuqing Hu, Stéphane Pateux, Vincent Gripon:
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification. AISTATS 2023: 5899-5917 - Thomas M. McDonald, Magnus Ross, Michael T. Smith, Mauricio A. Álvarez:
Nonparametric Gaussian Process Covariances via Multidimensional Convolutions. AISTATS 2023: 8279-8293 - Xinwei Sun, Xiangyu Zheng, Jim Weinstein:
A New Causal Decomposition Paradigm towards Health Equity. AISTATS 2023: 875-890 - Dan Qiao, Yu-Xiang Wang:
Near-Optimal Differentially Private Reinforcement Learning. AISTATS 2023: 9914-9940 - Yulai Zhao, Jianshu Chen, Simon S. Du:
Blessing of Class Diversity in Pre-training. AISTATS 2023: 283-305 - Kaiqi Zhao, Animesh Jain, Ming Zhao:
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. AISTATS 2023: 10470-10486 - Yutong Dai, Guanyi Wang, Frank E. Curtis, Daniel P. Robinson:
A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization. AISTATS 2023: 5107-5133 - Gary Cheng, Karan N. Chadha, John C. Duchi:
Federated Asymptotics: a model to compare federated learning algorithms. AISTATS 2023: 10650-10689 - Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki:
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games. AISTATS 2023: 7999-8028 - Jayadev Acharya, Sourbh Bhadane, Arnab Bhattacharyya, Saravanan Kandasamy, Ziteng Sun:
Sample Complexity of Distinguishing Cause from Effect. AISTATS 2023: 10487-10504 - Jayadev Acharya, Yuhan Liu, Ziteng Sun:
Discrete Distribution Estimation under User-level Local Differential Privacy. AISTATS 2023: 8561-8585 - Anass Aghbalou, Anne Sabourin, François Portier:
On the bias of K-fold cross validation with stable learners. AISTATS 2023: 3775-3794 - Sara Ahmadian, Maryam Negahbani:
Improved Approximation for Fair Correlation Clustering. AISTATS 2023: 9499-9516 - Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS 2023: 10252-10261 - Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS 2023: 3315-3330 - Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski:
Probing Graph Representations. AISTATS 2023: 11630-11649 - Ahmed M. Alaa, Zeshan M. Hussain, David A. Sontag:
Conformalized Unconditional Quantile Regression. AISTATS 2023: 10690-10702 - Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai:
Adapting to Latent Subgroup Shifts via Concepts and Proxies. AISTATS 2023: 9637-9661 - Abdullah Alchihabi, Yuhong Guo:
Learning Robust Graph Neural Networks with Limited Supervision. AISTATS 2023: 8723-8733 - Samuel Allen Alexander, David Quarel, Len Du, Marcus Hutter:
Universal Agent Mixtures and the Geometry of Intelligence. AISTATS 2023: 4231-4246 - Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan:
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity. AISTATS 2023: 1232-1300 - Ehsan Amid, Richard Nock, Manfred K. Warmuth:
Clustering above Exponential Families with Tempered Exponential Measures. AISTATS 2023: 2994-3017 - Ankur Ankan, Inge M. N. Wortel, Kenneth Bollen, Johannes Textor:
Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models. AISTATS 2023: 7252-7264 - Imad Aouali, Branislav Kveton, Sumeet Katariya:
Mixed-Effect Thompson Sampling. AISTATS 2023: 2087-2115
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