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Results
Found 3327 publication records. Showing 3327 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Grigory Malinovsky, Alibek Sailanbayev, Peter Richtárik |
Random Reshuffling with Variance Reduction: New Analysis and Better Rates.  |
UAI  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ao Liu, Qishen Han, Lirong Xia, Nengkun Yu |
Accelerating Voting by Quantum Computation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Arpan Losalka, Jonathan Scarlett |
Benefits of monotonicity in safe exploration with Gaussian processes. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bum Jun Kim, Hyeyeon Choi, Hyeonah Jang, Donggeon Lee, Sang Woo Kim |
How to use dropout correctly on residual networks with batch normalization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Minhyun Kang, Gi-Soo Kim |
Heavy-tailed linear bandit with Huber regression. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu C. Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen |
Simple Transferability Estimation for Regression Tasks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Swetha Ganesh, Rohan Deb, Gugan Thoppe, Amarjit Budhiraja |
Does Momentum Help in Stochastic Optimization? A Sample Complexity Analysis. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Belhal Karimi, Ping Li 0001, Xiaoyun Li |
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong 0001 |
Graph classification Gaussian processes via spectral features. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sahil Garg, Mina Dalirrooyfard, Anderson Schneider, Yeshaya Adler, Yuriy Nevmyvaka, Yu Chen, Fengpei Li, Guillermo A. Cecchi |
Information theoretic clustering via divergence maximization among clusters. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee |
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Youngseog Chung, Aaron Rumack, Chirag Gupta |
Parity calibration. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mohamed El Amine Seddik, Malik Tiomoko, Alexis Decurninge, Maxim Panov, Maxime Guillaud |
Learning from Low Rank Tensor Data: A Random Tensor Theory Perspective. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jinyan Su, Changhong Zhao, Di Wang 0015 |
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He |
E(2)-Equivariant Vision Transformer. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chengmin Gao, Bin Li 0015 |
Time-Conditioned Generative Modeling of Object-Centric Representations for Video Decomposition and Prediction. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier |
Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Limor Gultchin, Virginia Aglietti, Alexis Bellot, Silvia Chiappa |
Functional causal Bayesian optimization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yuqing Zhu 0005, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang 0003 |
Private Prediction Strikes Back! Private Kernelized Nearest Neighbors with Individual Rényi Filter. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause 0001 |
Lifelong bandit optimization: no prior and no regret. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Madhavan R. Padmanabhan, Yanhui Zhu, Samik Basu 0001, Aduri Pavan |
Maximizing submodular functions under submodular constraints. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anna Guo, Jiwei Zhao, Razieh Nabi |
Sufficient identification conditions and semiparametric estimation under missing not at random mechanisms. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ruiqi Zhao, Lei Zhang, Shengyu Zhu 0001, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He |
Conditional counterfactual causal effect for individual attribution. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jeonggeun Song, Heung-Chang Lee |
ViBid: Linear Vision Transformer with Bidirectional Normalization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yassir Fathullah, Guoxuan Xia, Mark J. F. Gales |
Logit-based ensemble distribution distillation for robust autoregressive sequence uncertainties. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Andrzej Nagórko, Pawel Ciosmak, Tomasz P. Michalak |
Two-phase Attacks in Security Games. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Abishek Sankararaman, Balakrishnan Narayanaswamy |
Online Heavy-tailed Change-point detection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Hasan, Yu Chen, Yuting Ng, Mohamed Abdelghani, Anderson Schneider, Vahid Tarokh |
Inference and sampling of point processes from diffusion excursions. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Siqi Chen, Jianing Zhao, Gerhard Weiss 0001, Ran Su, Kaiyou Lei |
An effective negotiating agent framework based on deep offline reinforcement learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dharmesh Tailor, Mohammad Emtiyaz Khan, Eric T. Nalisnick |
Exploiting Inferential Structure in Neural Processes. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiahao Li, Yiqiang Chen, Yunbing Xing |
Memory Mechanism for Unsupervised Anomaly Detection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth |
Inference for mark-censored temporal point processes. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Duanxiao Song, Guangyuan Shen, Dehong Gao, Libin Yang, Xukai Zhou, Shirui Pan, Wei Lou, Fang Zhou |
Fast Heterogeneous Federated Learning with Hybrid Client Selection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu |
Practical privacy-preserving Gaussian process regression via secret sharing. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Oliver E. Richardson, Joseph Y. Halpern, Christopher De Sa |
Inference for probabilistic dependency graphs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | 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 |
DBLP BibTeX RDF |
|
| 1 | Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin |
Approximately Bayes-optimal pseudo-label selection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Viplove Arora, Daniele Irto, Sebastian Goldt, Guido Sanguinetti |
Quantifying lottery tickets under label noise: accuracy, calibration, and complexity. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tom Hochsprung, Jonas Wahl, Andreas Gerhardus, Urmi Ninad, Jakob Runge |
Increasing effect sizes of pairwise conditional independence tests between random vectors. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller |
Mnemonist: Locating Model Parameters that Memorize Training Examples. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves |
BISCUIT: Causal Representation Learning from Binary Interactions. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tom Claassen, Joris M. Mooij |
Establishing Markov equivalence in cyclic directed graphs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tengfei Ma 0001, Trong Nghia Hoang, Jie Chen |
Federated learning of models pre-trained on different features with consensus graphs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ian Osband, Zheng Wen 0002, Seyed Mohammad Asghari, Vikranth Dwaracherla, Morteza Ibrahimi, Xiuyuan Lu, Benjamin Van Roy |
Approximate Thompson Sampling via Epistemic Neural Networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yue Wu, Jiafan He, Quanquan Gu |
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiazheng Li 0002, Zhaoyue Sun, Bin Liang, Lin Gui 0003, Yulan He 0001 |
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language Models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenqian Ye, Yunsheng Ma, Xu Cao, Kun Tang |
Mitigating Transformer Overconfidence via Lipschitz Regularization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue 0001, Chengxing Jia, Cong Guan, Chao Qian 0001, Yang Yu 0001 |
Fast Teammate Adaptation in the Presence of Sudden Policy Change. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li 0001 |
Online estimation of similarity matrices with incomplete data. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dustin Morrill, Thomas J. Walsh 0001, Daniel Hernandez, Peter R. Wurman, Peter Stone |
Composing Efficient, Robust Tests for Policy Selection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yaroslav Kivva, Jalal Etesami, Negar Kiyavash |
On Identifiability of Conditional Causal Effects. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xutong Zhao, Yangchen Pan, Chenjun Xiao, Sarath Chandar, Janarthanan Rajendran |
Conditionally optimistic exploration for cooperative deep multi-agent reinforcement learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mehdi Jafarnia-Jahromi, Liyu Chen, Rahul Jain 0002, Haipeng Luo |
Posterior sampling-based online learning for the stochastic shortest path model. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sinong Geng, Houssam Nassif, Carlos A. Manzanares |
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhuo Sun, Chris J. Oates, François-Xavier Briol |
Meta-learning Control Variates: Variance Reduction with Limited Data. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai 0001 |
Energy-based Predictive Representations for Partially Observed Reinforcement Learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vithursan Thangarasa, Abhay Gupta, William Marshall, Tianda Li, Kevin Leong, Dennis DeCoste, Sean Lie, Shreyas Saxena |
SPDF: Sparse Pre-training and Dense Fine-tuning for Large Language Models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sakshi Agarwal, Gabriel Hope, Ali Younis, Erik B. Sudderth |
A decoder suffices for query-adaptive variational inference. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Michael Rotman, Amit Dekel, Ran Ilan Ber, Lior Wolf, Yaron Oz |
Semi-supervised learning of partial differential operators and dynamical flows. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pengyu Zuo, Yao Wang 0003, Shaojie Tang 0001 |
Regularized online DR-submodular optimization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Steffen Ridderbusch, Sina Ober-Blöbaum, Paul Goulart |
The past does matter: correlation of subsequent states in trajectory predictions of Gaussian Process models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wen Chen, Yushan Zhang, Zhiheng Li, Yuehuan Wang |
MFA: Multi-layer Feature-aware Attack for Object Detection. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vu-Linh Nguyen, Yang Yang, Cassio de Campos |
Probabilistic Multi-Dimensional Classification. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Karine Karine, Predrag V. Klasnja, Susan A. Murphy, Benjamin M. Marlin |
Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi |
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wenqi Shi, Wenkai Xu |
Learning Nonlinear Causal Effect via Kernel Anchor Regression. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pawel Piwek, Adam Klukowski, Tianyang Hu |
Exact Count of Boundary Pieces of ReLU Classifiers: Towards the Proper Complexity Measure for Classification. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley C. Love, Adrian Weller |
Human-in-the-Loop Mixup. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Suya Wu, Enmao Diao, Jie Ding 0002, Taposh Banerjee, Vahid Tarokh |
Robust Quickest Change Detection for Unnormalized Models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Serena Lutong Wang, Harikrishna Narasimhan, Yichen Zhou, Sara Hooker, Michal Lukasik, Aditya Krishna Menon |
Robust distillation for worst-class performance: on the interplay between teacher and student objectives. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Qi Zhou, Jie Wang 0005, Qiyuan Liu 0008, Yufei Kuang, Wengang Zhou, Houqiang Li |
Learning robust representation for reinforcement learning with distractions by reward sequence prediction. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shiv Shankar |
Implicit Training of Inference Network Models for Structured Prediction. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ling Pan, Dinghuai Zhang, Moksh Jain, Longbo Huang, Yoshua Bengio |
Stochastic Generative Flow Networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Razieh Nabi, Rohit Bhattacharya |
On Testability and Goodness of Fit Tests in Missing Data Models. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann |
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fabrizio Ventola, Steven Braun, Zhongjie Yu 0001, Martin Mundt, Kristian Kersting |
Probabilistic circuits that know what they don't know. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton |
Fast and scalable score-based kernel calibration tests. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yusuf Sale, Michele Caprio, Eyke Hüllermeier |
Is the volume of a credal set a good measure for epistemic uncertainty? |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ali Gorji, Andisheh Amrollahi, Andreas Krause 0001 |
A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hanjing Wang, Qiang Ji |
Diversity-enhanced probabilistic ensemble for uncertainty estimation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shuang Ao, Stefan Rueger, Advaith Siddharthan |
Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lingxiao Wang 0001, Bargav Jayaraman, David Evans 0001, Quanquan Gu |
Efficient Privacy-Preserving Stochastic Nonconvex Optimization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chong Liu, Ming Yin 0003, Yu-Xiang Wang 0003 |
No-Regret Linear Bandits beyond Realizability. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ashok Cutkosky, Abhimanyu Das, Weihao Kong, Chansoo Lee, Rajat Sen |
Blackbox optimization of unimodal functions. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Anna P. Meyer, Dan Ley, Suraj Srinivas, Himabindu Lakkaraju |
On Minimizing the Impact of Dataset Shifts on Actionable Explanations. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak |
MDPose: real-time multi-person pose estimation via mixture density model. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava |
Graph Self-supervised Learning via Proximity Distribution Minimization. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Charles C. Margossian, Lawrence K. Saul |
The Shrinkage-Delinkage Trade-off: an Analysis of Factorized Gaussian Approximations for Variational Inference. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xingguo Chen, Xingzhou Ma, Yang Li, Guang Yang, Shangdong Yang, Yang Gao 0001 |
Modified Retrace for Off-Policy Temporal Difference Learning. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Aaron David Tucker, Caleb Biddulph, Claire Wang, Thorsten Joachims |
Bandits with costly reward observations. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Vishal Sharma, Daman Arora, Mausam, Parag Singla |
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Bijan Mazaheri, Atalanti-Anastasia Mastakouri, Dominik Janzing, Michaela Hardt |
Causal information splitting: Engineering proxy features for robustness to distribution shifts. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yousef El-Laham, Niccolò Dalmasso, Elizabeth Fons, Svitlana Vyetrenko |
Deep Gaussian mixture ensembles. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yilin Wang, Farzan Farnia |
On the Role of Generalization in Transferability of Adversarial Examples. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sebastian W. Ober, Ben Anson, Edward Milsom, Laurence Aitchison |
An improved variational approximate posterior for the deep Wishart process. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause 0001 |
Hallucinated adversarial control for conservative offline policy evaluation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zixin Huang, Saikat Dutta 0001, Sasa Misailovic |
ASTRA: Understanding the practical impact of robustness for probabilistic programs. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xihong Su, Marek Petrik |
Solving multi-model MDPs by coordinate ascent and dynamic programming. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ahmed Aloui, Juncheng Dong, Cat P. Le, Vahid Tarokh |
Transfer learning for individual treatment effect estimation. |
UAI |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma 0001 |
MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. |
UAI |
2023 |
DBLP BibTeX RDF |
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