hunoutl/paperlists huggingface dataset:
Title: GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech
Authors: Rongjie Huang, Yi Ren, Jinglin Liu, Chenye Cui, Zhou Zhao
Affiliations: Zhejiang University; Sea AI Lab
Conference: nips 2022 (main track)
Keywords: text-to-speech;speech synthesis;style transfer;domain generalization
Decision: Poster
Title: RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
Authors: Hangjie Yuan, Jianwen Jiang, Samuel Albanie, Tao Feng, Ziyuan Huang, Dong Ni, Mingqian Tang
Affiliations: National University of Singapore; Alibaba Group; University of Cambridge; Zhejiang University
Conference: nips 2022 (main track)
Keywords: human-object interaction detection;language-image pretraining
Decision: Poster
Title: Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
Authors: Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David Clifton
Affiliations: School of ECE, Peking University; School of Public Health, Shanghai Jiao Tong University School of Medicine, China; MOE Key Lab of Computational Linguistics, School of Computer Science, Peking University; Department of Electrical Engineering, Yale University; Department of Engineering Science, University of Oxford; Tencent JARVIS Lab, China; Oxford-Suzhou Centre for Advanced Research, China
Conference: nips 2022 (main track)
Keywords: Natural Language Generation;Medical Text Generation;MIMIC-III;Patient Instruction;Discharge;AI for Healthcare
Decision: Poster
Title: No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
Authors: Yu-Guan Hsieh, Kimon Antonakopoulos, Volkan Cevher, Panayotis Mertikopoulos
Affiliations: Univ. Grenoble Alpes; EPFL; CNRS, Inria, LIG & Criteo AI Lab
Conference: nips 2022 (main track)
Keywords: Learning in game;Regret;Noise;Optimism;Adaptivity;Nash equilibrium
Decision: Poster
Title: Learning on Arbitrary Graph Topologies via Predictive Coding
Authors: Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz
Affiliations: Department of Computer Science, University of Oxford, UK; Institute of Logic and Computation, TU Wien, Austria; MRC Brain Network Dynamics Unit, University of Oxford, UK; Department of Computer Science, University of Oxford, UK; MRC Brain Network Dynamics Unit, University of Oxford, UK; Department of Computer Science, University of Oxford, UK
Conference: nips 2022 (main track)
Keywords: Cognitive Science
Decision: Poster
Title: Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
Authors: Hui Yuan
Affiliations: School of Electrical Engineering and Computer Science, Oregon State University; Department of Electrical and Computer Engineering, Princeton University; Department of Computing Science, University of Alberta; Department of Pathology and Department of Genetics, Stanford University; DeepMind
Conference: nips 2022 (main track)
Keywords: optimization;evolution;bandit;regret;Thompson sampling
Decision: Poster
Title: Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images
Authors: CHAO TU, YU ZHANG, Zhenyuan Ning
Affiliations: School of Biomedical Engineering, Guangdong Provincial Key Laboratory of Medical Image Processing, Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China
Conference: nips 2022 (main track)
Keywords: Prognosis Analysis;Whole Slide Images;Multi-Instance Learning;Curriculum Learning;Contrastive learning
Decision: Poster
Title: Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex
Authors: Charles Lovering, Jessica Forde, George Konidaris, Ellie Pavlick, Michael Littman
Affiliations: Department of Computer Science, Brown University
Conference: nips 2022 (main track)
Keywords: alphazero;deep reinforcement learning;explainability;interpretability;evaluation;concepts;hex;mcts
Decision: Poster
Title: SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
Authors: Chejian Xu, Wenhao Ding, Weijie Lyu, ZUXIN LIU, Shuai Wang, Yihan He, Hanjiang Hu, DING ZHAO, Bo Li
Affiliations: University of Illinois at Urbana-Champaign; Carnegie Mellon University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: safety benchmarking platform;autonomous driving;safety-critical scenarios
Decision: Poster
Title: Weakly supervised causal representation learning
Authors: Johann Brehmer, Pim de Haan, Phillip Lippe, Taco Cohen
Affiliations: Qualcomm AI Research; Qualcomm AI Research, QUV A Lab, University of Amsterdam; QUV A Lab, University of Amsterdam
Conference: nips 2022 (main track)
Keywords: causal representation learning;causality;disentangled representation learning;causal discovery
Decision: Poster
Title: Large Language Models are Zero-Shot Reasoners
Authors: Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, Yusuke Iwasawa
Affiliations: The University of Tokyo; Google Research, Brain Team; Google Research∗
Conference: nips 2022 (main track)
Keywords: chain of thought (CoT);zero-shot learning;multi-step reasoning;arithmetic;commonsense reasoning;prompting;large language models (LLMs)
Decision: Poster
Title: Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts
Authors: Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik
Affiliations: Management Science and Engineering Department, Computer Science Department, Stanford University; Computer Science Department, Carnegie Mellon University, Optimized Markets, Inc., Strategic Machine, Inc., Strategy Robot, Inc.; School of Computer Science, Carnegie Mellon University; Computer Science Department, Carnegie Mellon University
Conference: nips 2022 (main track)
Keywords: Gomory mixed integer cuts;automated algorithm configuration;integer programming;tree search;branch-and-bound;branch-and-cut;cutting planes;sample complexity;generalization guarantees;data-driven algorithm design
Decision: Highlighted
Title: Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization
Authors: Haiming Xu, Lingqiao Liu, Qiuchen Bian, Zhen Yang
Affiliations: Huawei Noah’s Ark Lab; Australian Institute for Machine Learning, The University of Adelaide; Northeastern University
Conference: nips 2022 (main track)
Keywords: semi-supervised semantic segmentation;prototype-based learning
Decision: Poster
Title: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
Authors: Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
Affiliations: Lund University; Lund University, Stanford University, DBtune; Amazon
Conference: nips 2022 (main track)
Keywords: Bayesian optimization;global optimization;Gaussian process;high-dimensional
Decision: Poster
Title: Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion
Authors: Gavin Zhang, University of Illinois at Urbana–Champaign, jialun2@illinois.edu , "3026 Hong-Ming Chiu, University of Illinois at Urbana–Champaign, hmchiu2@illinois.edu, "3026 Richard Y. Zhang, University of Illinois at Urbana–Champaign, ryz@illinois.edu
Affiliations: University of Illinois at Urbana–Champaign
Conference: nips 2022 (main track)
Keywords: huge scale optimization;stochastic gradient descent;SGD;scaled gradient descent;ScaledGD;preconditioned gradient descent;PrecGD
Decision: Poster
Title: Evaluating Graph Generative Models with Contrastively Learned Features
Authors: Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland
Affiliations: UBC; Autodesk AI Lab; UBC & Amii
Conference: nips 2022 (main track)
Keywords: generative model evaluation;graph generative models;self-supervised learning
Decision: Poster
Title: Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models
Authors: Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao
Affiliations: NVIDIA, Arizona State University; NVIDIA; NVIDIA, Caltech; University of Maryland
Conference: nips 2022 (main track)
Keywords: Foundation Model;Prompt Tuning;Generalization;Out-of-Distribution Robustness
Decision: Poster
Title: Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model
Authors: Xuan-Phi Nguyen, Shafiq Joty, Kui Wu, Ai Ti Aw
Affiliations: Nanyang Technological University; Institute for Infocomm Research (I2R), A*STAR
Conference: nips 2022 (main track)
Keywords: machine translation;unsupervised machine translation;low-resource translation
Decision: Poster
Title: Change-point Detection for Sparse and Dense Functional Data in General Dimensions
Authors: Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao, Yi Yu
Affiliations: Department of Mathematics, University of Notre Dame; Department of Statistics, University of Warwick; Mendoza College of Business, University of Notre Dame; Department of Statistics, University of Notre Dame
Conference: nips 2022 (main track)
Decision: Poster
Title: Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization
Authors: Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan
Affiliations: MetaCarbon; University of Pennsylvania; DAMO Academy, Alibaba Group
Conference: nips 2022 (main track)
Keywords: decentralized optimization;stochastic optimization;non-convex optimization;optimal complexity
Decision: Poster
Title: Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
Authors: Atsutoshi Kumagai, Tomoharu Iwata, Yasutoshi Ida, Yasuhiro Fujiwara
Affiliations: NTT Communication Science Laboratories; NTT Computer and Data Science Laboratories
Conference: nips 2022 (main track)
Keywords: Meta-learning;Few-shot learning;Supervised Feature Selection
Decision: Poster
Title: MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing
Authors: Zelun Luo, Zane Durante, Linden Li, Wanze Xie, Ruochen Liu, Emily Jin, Zhuoyi Huang, Lun Yu Li, Jiajun Wu, Juan Carlos Niebles, Ehsan Adeli, Fei-Fei Li
Affiliations: Stanford University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: activity recognition;video-language model;video understanding;fine-grained activity recognition;scene graph generation;temporal action detection
Decision: Poster
Title: Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning
Authors: Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano Albrecht, Josiah Hanna
Affiliations: School of Informatics, University of Edinburgh; Statistics Department, University of Wisconsin – Madison; Computer Sciences Department, University of Wisconsin – Madison
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;policy evaluation;on-policy;data collection
Decision: Poster
Title: Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
Authors: Sanket Shah, Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe
Affiliations: Harvard University; Carnegie Mellon University; The Ohio State University
Conference: nips 2022 (main track)
Keywords: Decision-Focused Learning;Prediction;Optimization;Machine Learning
Decision: Poster
Title: VICRegL: Self-Supervised Learning of Local Visual Features
Authors: Adrien Bardes, Jean Ponce, Yann LeCun
Affiliations: 1Meta, FAIR; 1Meta, FAIR; 3Courant Institute, New York University; 4Center for Data Science, New York University; 2Inria, École normale supérieure, CNRS, PSL Research University
Conference: nips 2022 (main track)
Keywords: self-supervised learning;representation learning;computer vision
Decision: Poster
Title: 4D Unsupervised Object Discovery
Authors: Yuqi Wang, Yuntao Chen, ZHAO-XIANG ZHANG
Affiliations: Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences; Centre for Artiﬁcial Intelligence and Robotics, HKISI_CAS; Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA); School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences; Centre for Artiﬁcial Intelligence and Robotics, HKISI_CAS
Conference: nips 2022 (main track)
Keywords: Unsupervised Object Detection
Decision: Poster
Title: Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers
Authors: Nathan Tsoi, Kate Candon, Deyuan Li, Yofti Milkessa, Marynel Vázquez
Affiliations: Yale University
Conference: nips 2022 (main track)
Keywords: Neural Network;Binary Classification;Evaluation Metric;Confusion Matrix;Accuracy;F-Score
Decision: Poster
Title: Understanding the Evolution of Linear Regions in Deep Reinforcement Learning
Authors: Setareh Cohan, Nam Hee Kim, David Rolnick, Michiel van de Panne
Affiliations: Department of Computer Science, Aalto University; School of Computer Science, McGill University; Department of Computer Science, University of British Columbia
Conference: nips 2022 (main track)
Keywords: reinforcement learning;piecewise linear regions;region densities
Decision: Poster
Title: Amortized Inference for Causal Structure Learning
Authors: Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf
Affiliations: ETH Zurich, Zurich, Switzerland; MPI for Intelligent Systems, Tübingen, Germany
Conference: nips 2022 (main track)
Keywords: causality;amortized inference;causal discovery;structure learning;Bayesian causal discovery
Decision: Poster
Title: On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity
Authors: Vincent Szolnoky, Viktor Andersson, Balazs Kulcsar, Rebecka Jörnsten
Affiliations: Department of Electrical Engineering, Chalmers University of Technology, Göteborg, Chalmersplatsen 4, 41296, Sweden; Department of Mathematical Sciences, Chalmers University of Technology, Göteborg, Chalmers Tvärgata 3, 41296, Sweden
Conference: nips 2022 (main track)
Keywords: neural network;regularization;gradient descent;gradient similarity;noisy labels;generalization
Decision: Poster
Title: Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups
Authors: Sho Sonoda, Isao Ishikawa, Masahiro Ikeda
Affiliations: Ehime University; RIKEN AIP
Conference: nips 2022 (main track)
Keywords: group convolutional neural network (GCNN);universal approximation;group equivariance;ridgelet transform
Decision: Poster
Title: Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks
Authors: Jiyang Guan, Jian Liang, Ran He
Affiliations: NLPR & CRIPAC, Institute of Automation, Chinese Academy of Sciences, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, China
Conference: nips 2022 (main track)
Keywords: NN fingerprinting;model stealing attack;sample correlation
Decision: Poster
Title: Riemannian Diffusion Models
Authors: Chin-Wei Huang, Milad Aghajohari, Joey Bose, Prakash Panangaden, Aaron Courville
Affiliations: McGill University; University of Montreal & McGill University & Mila
Conference: nips 2022 (main track)
Keywords: diffusion models;density estimation;generative models;Riemannian manifolds;variational inference
Decision: Poster
Title: Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis
Authors: Wuyang Chen, Wei Huang, Xinyu Gong, Boris Hanin, Zhangyang Wang
Affiliations: University of Texas at Austin; Princeton University; RIKEN AIP
Conference: nips 2022 (main track)
Keywords: Neural Network Gaussian Process;Convergence;Neural Network Architecture
Decision: Poster
Title: Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
Authors: Grigory Malinovsky, Kai Yi, Peter Richtarik
Affiliations: KAUST
Conference: nips 2022 (main track)
Keywords: Federated Learning;Variance Reduction;Local SGD;ProxSkip;LSVRG;DIANA;Communication Compression;Local Training
Decision: Poster
Title: Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations
Authors: Ivan Marisca, Andrea Cini, Cesare Alippi
Affiliations: The Swiss AI Lab IDSIA, Università della Svizzera italiana; The Swiss AI Lab IDSIA, Università della Svizzera italiana; Politecnico di Milano
Conference: nips 2022 (main track)
Keywords: missing data;time series imputation;spatiotemporal graph neural networks
Decision: Poster
Title: A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
Authors: Randall Balestriero, Ishan Misra, Yann LeCun
Affiliations: Meta AI Research, FAIR, NYC, USA; Meta AI Research, FAIR, NYU, NYC, USA
Conference: nips 2022 (main track)
Keywords: data augmentation;regularization;understanding;implicit regularization
Decision: Poster
Title: Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
Authors: Viktor Bengs, Eyke Hüllermeier, Willem Waegeman
Affiliations: Munich Center for Machine Learning; Institute of Informatics, University of Munich (LMU); Department of Data Analysis and Mathematical Modeling, Ghent University
Conference: nips 2022 (main track)
Keywords: Uncertainty Quantification;Empirical Loss Minimisation;Proper Scoring Rules
Decision: Poster
Title: Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
Authors: HuiYang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
Affiliations: 2School of Computer Science and Tech., University of Chinese Academy of Sciences; 3State Key Lab of Info. Security, Inst. of Info. Engineering, CAS; 4School of Cyber Security, University of Chinese Academy of Sciences; 1Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; 2School of Computer Science and Tech., University of Chinese Academy of Sciences; 1Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; 2School of Computer Science and Tech., University of Chinese Academy of Sciences; 5BDKM, University of Chinese Academy of Sciences; 6Peng Cheng Laboratory
Conference: nips 2022 (main track)
Keywords: partial AUC;optimization;minimax
Decision: Poster
Title: Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources
Authors: Bariscan Bozkurt, Cengiz Pehlevan, Alper Erdogan
Affiliations: John A. Paulson School of Engineering & Applied Sciences and Center for Brain Science, Harvard University, Cambridge, 02138 MA, USA; KUIS AI Center, Koc University, Turkey and EEE Department, Koc University, Turkey
Conference: nips 2022 (main track)
Keywords: Biologically Plausible Neural Networks;Blind Source Separation;Weighted Similarity Matching;Determinant Maximization
Decision: Highlighted
Title: Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
Authors: Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm
Affiliations: University of California Irvine, Irvine, CA 92697; Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., Strategic Machine, Inc., Pittsburgh, PA 15213; Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2022 (main track)
Keywords: Uncoupled learning dynamics;optimistic mirror descent;correlated equilibrium;Nash equilibrium
Decision: Poster
Title: Fully Sparse 3D Object Detection
Authors: Lue Fan, Feng Wang, Naiyan Wang, ZHAO-XIANG ZHANG
Affiliations: Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition, CASIA; Center for Artificial Intelligence and Robotics, HKISI_CAS; Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; National Laboratory of Pattern Recognition, CASIA; School of Future Technology, UCAS; TuSimple
Conference: nips 2022 (main track)
Keywords: Autonomous Driving;LiDAR;3D Object Detection
Decision: Poster
Title: Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Authors: Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang
Affiliations: Mila - Québec AI Institute, Canada; HEC Montréal, Canada; CIFAR AI Research Chair; Beijing University of Posts and Telecommunications, China
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Debiasing;Causal substructure
Decision: Poster
Title: NSNet: A General Neural Probabilistic Framework for Satisfiability Problems
Authors: Zhaoyu Li, Xujie Si
Affiliations: McGill University, Mila – Quebec AI Institute, CIFAR AI Research Chair; McGill University, Mila – Quebec AI Institute
Conference: nips 2022 (main track)
Keywords: satisfiability problems;model counting;graphical model;Belief Propagation;graph neural network;marginal inference;partition function estimation
Decision: Poster
Title: ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
Authors: Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He
Affiliations: Microsoft
Conference: nips 2022 (main track)
Keywords: Post-Training Quantization;Layer-by-Layer Knowledge Distillation;BERT;GPT-3;GPT-Neox-20B
Decision: Poster
Title: Exact Shape Correspondence via 2D graph convolution
Authors: Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, MA Kaili, Bo Han, Bo Li, James Cheng
Affiliations: Hong Kong Baptist University; The Hong Kong University of Science and Technology; The Chinese University of Hong Kong
Conference: nips 2022 (main track)
Keywords: Applications;Vision;Shapes;Correspondences
Decision: Poster
Title: Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Authors: Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade
Affiliations: The University of Hong Kong; Harvard University; University of California, Los Angeles; Johns Hopkins University
Conference: nips 2022 (main track)
Keywords: Stochastic gradient descent;generalization;least square;interpolation
Decision: Poster
Title: Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering
Authors: Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang
Affiliations: School of Computer Science and Technology, Xidian University
Conference: nips 2022 (main track)
Keywords: Graph Self-supervised Learning;Heterogeneous Information Networks;HGNN Pre-training
Decision: Poster
Title: Sketching based Representations for Robust Image Classification with Provable Guarantees
Authors: Nishanth Dikkala, Sankeerth Rao Karingula, Raghu Meka, Jelani Nelson, Rina Panigrahy, Xin Wang
Affiliations: UC Los Angeles; UC Berkeley; Google Research
Conference: nips 2022 (main track)
Decision: Poster
Title: Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
Authors: QIN DING, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack
Affiliations: Department of Statistics, University of California, Davis; Department of Computer Science, University of California, Los Angeles; Amazon∗, Berkeley, CA
Conference: nips 2022 (main track)
Keywords: contextual bandits;online learning;hyperparameter optimization
Decision: Poster
Title: An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Authors: Jinkun Cao, Ruiqian Nai, Qing Yang, Jialei Huang, Yang Gao
Affiliations: Carnegie Mellon University; Shanghai Jiao Tong University; Tsinghua University, Shanghai Qi-Zhi Institute; Tsinghua University
Conference: nips 2022 (main track)
Decision: Poster
Title: An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects
Authors: Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong
Affiliations: School of Computing, National University of Singapore; Roche AG and Harvard University
Conference: nips 2022 (main track)
Keywords: causal inference;causal effects;federated learning;kernel method
Decision: Poster