hunoutl/paperlists huggingface dataset:
Title: Causality-driven Hierarchical Structure Discovery for Reinforcement Learning
Authors: shaohui peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, xishan zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
Affiliations: SKL of Processors, Institute of Computing Technology, CAS; Cambricon Technologies; SKL of Processors, Institute of Computing Technology, CAS; University of Chinese Academy of Sciences; SKL of Computer Science, Institute of Software, CAS; Department of Computer Science and Engineering, Southern University of Science and Technology; SKL of Computer Science, Institute of Software, CAS; SKL of Processors, Institute of Computing Technology, CAS; University of Chinese Academy of Sciences; Cambricon Technologies
Conference: nips 2022 (main track)
Keywords: hierarchical reinforcement learning;causal discovery;causalty;subgoal
Decision: Poster
Title: CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Authors: Andreas Fürst, Elisabeth Rumetshofer, Johannes Lehner, Viet Tran, Fei Tang, Hubert Ramsauer, David Kreil, Michael Kopp, Günter Klambauer, Angela Bitto-Nemling, Sepp Hochreiter
Affiliations: Institute of Advanced Research in Artiﬁcial Intelligence (IARAI), Vienna, Austria; HERE Technologies, Zurich, Switzerland; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University, Linz, Austria
Conference: nips 2022 (main track)
Keywords: Deep learning;Associative memory;Hopfield networks;Contrastive learning;Multimodal learning
Decision: Poster
Title: Learning Equivariant Segmentation with Instance-Unique Querying
Authors: Wenguan Wang, James Liang, Dongfang Liu
Affiliations: ReLER, AAII, University of Technology Sydney; Rochester Institute of Technology
Conference: nips 2022 (main track)
Keywords: Instance Segmentation;Instance-Unique Querying;Transformation Equivariant Learning
Decision: Poster
Title: Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
Authors: Yifei Wang, Tavor Baharav, Yanjun Han, Jiantao Jiao, David Tse
Affiliations: Department of Electrical Engineering and Computer Sciences and Department of Statistics, University of California, Berkeley, Berkeley, CA 94720; Department of Electrical Engineering, Stanford University, Stanford, CA 94305; Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA 02142
Conference: nips 2022 (main track)
Keywords: Multi-armed bandits;information-theoretic lower bounds;algorithm design;functional estimation
Decision: Poster
Title: Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
Authors: Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon Du
Affiliations: Department of Electrical & Computer Engineering, University of Washington; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: nips 2022 (main track)
Keywords: randomized exploration;reinforcement learning theory;tabular MDP
Decision: Poster
Title: Neural Attentive Circuits
Authors: Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Erran Li Li, Nicolas Ballas
Affiliations: Université de Montréal; Max Planck Institute for Intelligent Systems, Tübingen; Polytechnique Montréal; Mila, Quebec AI Institute; AWS AI4Meta AI; Canada CIFAR AI Chair
Conference: nips 2022 (main track)
Keywords: Deep Learning;Low-Shot Adaptation;Attention Mechanisms;General Purpose Neural Architectures
Decision: Poster
Title: Stars: Tera-Scale Graph Building for Clustering and Learning
Authors: CJ Carey, Jonathan Halcrow, Rajesh Jayaram, Vahab Mirrokni, Warren Schudy, Peilin Zhong
Affiliations: Google Research
Conference: nips 2022 (main track)
Keywords: Graph Building;Clustering;Nearest Neighbor Search;Locality Sensitive Hashing
Decision: Poster
Title: Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
Authors: Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang
Affiliations: Midea Group; East China Normal University; Tsinghua University
Conference: nips 2022 (main track)
Decision: Poster
Title: Understanding Square Loss in Training Overparametrized Neural Network Classifiers
Authors: Tianyang Hu, Jun WANG, Wenjia Wang, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab; HKUST (GZ) and HKUST; HKUST
Conference: nips 2022 (main track)
Keywords: Nonparametric classification;square loss;generalization error;robustness;calibration error;neural tangent kernel
Decision: Poster
Title: A Causal Analysis of Harm
Authors: Sander Beckers, Hana Chockler, Joseph Halpern
Affiliations: Computer Science Department, Cornell University; Cluster of Excellence in Machine Learning, University of Tübingen and Munich Center for Mathematical Philosophy, LMU; causaLens and Department of Informatics, King’s College London
Conference: nips 2022 (main track)
Keywords: harm;causality;utility
Decision: Poster
Title: Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data
Authors: Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar
Affiliations: University of Cambridge; University of Cambridge, The Alan Turing Institute, UCLA; University of Oxford, The Alan Turing Institute
Conference: nips 2022 (main track)
Keywords: data-centric AI;data characterization;data quality
Decision: Poster
Title: BYOL-Explore: Exploration by Bootstrapped Prediction
Authors: Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Remi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
Affiliations: DeepMind
Conference: nips 2022 (main track)
Keywords: Exploration;Deep Reinforcement Learning;Representation Learning;Self-Supervised Learning
Decision: Poster
Title: Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
Authors: Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
Affiliations: The University of Texas at Austin; CSIRO’s Data61; Xidian University; School of Data Science, The Chinese University of Hong Kong, Shenzhen; Shenzhen Institute of Artificial Intelligence and Robotics for Society; School of Data Science, The Chinese University of Hong Kong, Shenzhen; Institute of Robotics and Intelligent Manufacturing
Conference: nips 2022 (main track)
Decision: Poster
Title: Emergent Graphical Conventions in a Visual Communication Game
Authors: Shuwen Qiu, Sirui Xie, Lifeng Fan, Tao Gao, Jungseock Joo, Song-Chun Zhu, Yixin Zhu
Affiliations: Department of Communication, UCLA; Department of Computer Science, UCLA; Beijing Institute for General Artificial Intelligence (BIGAI); Institute for Artificial Intelligence, Peking University
Conference: nips 2022 (main track)
Keywords: Visual communication;Emergent languages;Representation learning
Decision: Poster
Title: Weak-shot Semantic Segmentation via Dual Similarity Transfer
Authors: Junjie Chen, Li Niu, Siyuan Zhou, Jianlou Si, Chen Qian, Liqing Zhang
Affiliations: SenseTime Research, SenseTime; The MoE Key Lab of AI, CSE department, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Decision: Poster
Title: A Unified Analysis of Federated Learning with Arbitrary Client Participation
Authors: Shiqiang Wang, Mingyue Ji
Affiliations: Department of ECE, University of Utah, Salt Lake City, UT 84112; IBM T. J. Watson Research Center, Yorktown Heights, NY 10598
Conference: nips 2022 (main track)
Keywords: federated learning;partial client participation;convergence analysis
Decision: Poster
Title: Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences
Authors: Siwei Wang, Xinwang Liu, Suyuan Liu, Jiaqi Jin, Wenxuan Tu, Xinzhong Zhu, En Zhu
Affiliations: School of Computer, National University of Defense Technology, Changsha, China; Zhejiang Normal University
Conference: nips 2022 (main track)
Keywords: multi-view graph clustering;anchor graph clustering
Decision: Poster
Title: Systematic improvement of neural network quantum states using Lanczos
Authors: Hongwei Chen, Douglas Hendry, Phillip Weinberg, Adrian Feiguin
Affiliations: Department of Physics, Northeastern University, Boston, USA; Stanford Institute for Materials and Energy Sciences, Stanford University, Stanford, USA; Linac Coherent Light Source, SLAC National Accelerator Laboratory, Menlo Park, USA; Department of Physics, Northeastern University, Boston, USA
Conference: nips 2022 (main track)
Decision: Poster
Title: OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Authors: ChouYangze
Affiliations: Department of Statistics, Purdue University, West Lafayette, IN 47903; Department of Mathematics, Ludwig-Maximilians-Universitat München, Munich, Germany; Department of Computer Science, Purdue University, West Lafayette, IN 47903
Conference: nips 2022 (main track)
Keywords: OOD;GNNs;link prediction;Message Passing GNNs;random graphs;graphon
Decision: Poster
Title: Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats
Authors: Hongwei Jin, Zishun Yu, Xinhua Zhang
Affiliations: Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL 60439; Department of Computer Science, University of Illinois Chicago, Chicago, IL 60607
Conference: nips 2022 (main track)
Keywords: certification of robustness;Gromov-Wasserstein distance;convex relaxation
Decision: Poster
Title: M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus
Authors: Lichao Zhang, Ruiqi Li, Shoutong Wang, Liqun Deng, Jinglin Liu, Yi Ren, Jinzheng He, Rongjie Huang, Jieming Zhu, Xiao Chen, Zhou Zhao
Affiliations: Huawei Noah’s Ark Lab; Zhejiang University
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: singing voice corpus;singing voice synthesis;singing voice conversion;automatic music transcription
Decision: Poster
Title: Functional Indirection Neural Estimator for Better Out-of-distribution Generalization
Authors: Kha Pham1  Hung Le1  Man Ngo2  Truyen Tran1 , 1 Applied Artificial Intelligence Institute, Deakin University, 2 Faculty of Mathematics and Computer Science, VNUHCM-University of Science , , 1 {phti, thai.le, truyen.tran}@deakin.edu.au, 2 nmman@hcmus.edu.vn, 
Affiliations: Faculty of Mathematics and Computer Science, VNUHCM-University of Science; Applied Artiﬁcial Intelligence Institute, Deakin University
Conference: nips 2022 (main track)
Keywords: functional space;analogy-making;indirection;memory;out-of-distribution generalization;IQ task
Decision: Poster
Title: MCMAE: Masked Convolution Meets Masked Autoencoders
Authors: Peng Gao, Teli Ma, Hongsheng Li, Ziyi Lin, Jifeng Dai, Yu Qiao
Affiliations: Shanghai AI Laboratory, Shanghai, China; MMLab, CUHK; MMLab, CUHK; Shanghai AI Laboratory, Shanghai, China; SenseTime Research
Conference: nips 2022 (main track)
Keywords: Masked auto-encoders;Convolution Neural Networks;Vision Transformer
Decision: Poster
Title: The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World
Authors: William Gaviria Rojas, Sudnya Diamos, Keertan Kini, David Kanter, Vijay Janapa Reddi, Cody Coleman
Affiliations: Harvard University; MLCommons; Coactive AI
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: deep learning;computer vision;supervised learning;ai for social good;dataset;creative commons
Decision: Poster
Title: Emergent Communication: Generalization and Overfitting in Lewis Games
Authors: Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
Affiliations: DeepMind; EHESS, ENS-PSL, CNRS, INRIA, Meta AI Research; Google Research, Brain Team; INRIA, Paris
Conference: nips 2022 (main track)
Keywords: Emergent communication;Lewis games;Signaling games;generalization;compositionality
Decision: Poster
Title: FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction
Authors: Qiao Feng, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li
Affiliations: Tianjin University; Cardiff University; Tsinghua University
Conference: nips 2022 (main track)
Keywords: Monocular human reconstruction;Representation;Real-time;Single image
Decision: Poster
Title: Enhance the Visual Representation via Discrete Adversarial Training
Authors: Xiaofeng Mao, YueFeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, shaokai ye, Xiaodan Li, Rong Zhang, Hui Xue'
Affiliations: Alibaba Group; EPFL; Zhejiang University
Conference: nips 2022 (main track)
Keywords: Adversarial Training;Discrete Visual Representation;Robustness;Generalization
Decision: Poster
Title: Preservation of the Global Knowledge by Not-True Distillation in Federated Learning
Authors: Gihun Lee, Minchan Jeong, Yongjin Shin, Sangmin Bae, Se-Young Yun
Affiliations: KAIST
Conference: nips 2022 (main track)
Keywords: deep learning;federated learning;continual learning;knowledge distillation
Decision: Poster
Title: Neural Approximation of Graph Topological Features
Authors: Zuoyu Yan, Tengfei Ma, Liangcai Gao, Zhi Tang, Yusu Wang, Chao Chen
Affiliations: Department of Biomedical Informatics, Stony Brook University; Halıcıo ˘glu Data Science Institute, University of California; IBM T. J. Watson Research Center; Wangxuan Institute of Computer Technology, Peking University
Conference: nips 2022 (main track)
Keywords: Persistent Homology;Topological Data Analysis;Neural Execution;Graph Nerual Networks
Decision: Poster
Title: Towards Learning Universal Hyperparameter Optimizers with Transformers
Authors: Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
Affiliations: Deepmind; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: OptFormer;Transformer;hyperparameter;optimization;offline;tuning;meta;learning;meta-learning;bayesian;optimization;blackbox
Decision: Poster
Title: Active Bayesian Causal Inference
Authors: Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius von Kügelgen
Affiliations: ETH Zürich; TU Graz; MPI for Intelligent Systems, Tübingen; University of Cambridge
Conference: nips 2022 (main track)
Keywords: Bayesian methods;causal inference;causal discovery;causal reasoning;active learning;experimental design;probabilistic machine learning;Gaussian processes
Decision: Poster
Title: TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models
Authors: Huibin Ge, Xiaohu Zhao, Chuang Liu, Yulong Zeng, Qun Liu, Deyi Xiong
Affiliations: Huawei Noah’s Ark Lab, Hong Kong, China; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Text Generation;Pretrained Language Model;Data Curation;Text Generation Error
Decision: Poster
Title: CoPur: Certifiably Robust Collaborative Inference via Feature Purification
Authors: Jing Liu, Chulin Xie, Sanmi Koyejo, Bo Li
Affiliations: Department of Computer Science, University of Illinois at Urbana Champaign; University of Illinois at Urbana Champaign & Stanford University & Google Research
Conference: nips 2022 (main track)
Keywords: Robust Collaborative Inference;Feature Purification;Adversarial Machine Learning;Vertical Federated Inference;Robust Decomposition
Decision: Poster
Title: A time-resolved theory of information encoding in recurrent neural networks
Authors: Rainer Engelken, Sven Goedeke
Affiliations: Zuckerman Mind, Brain, Behavior Institute, Columbia University, New York, USA; Neural Network Dynamics and Computation, Institute of Genetics, University of Bonn, Bonn, Germany
Conference: nips 2022 (main track)
Keywords: network dynamics;encoding;mean-field theory;balanced state;information theory;recurrent neural networks;dynamical systems;chaos;noise
Decision: Poster
Title: Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
Authors: Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc V Gool
Affiliations: Shenzhen International Graduate School, Tsinghua University; Shenzhen Institute of Future Media Technology; Westlake University; ETH Zürich; University of Würzburg; ETH Zürich
Conference: nips 2022 (main track)
Keywords: Applications;Computer Vision;Low-level Vision;Image Restoration;Snapshot Compressive Imaging;Hyperspectral Image Reconstruction
Decision: Poster
Title: LGDN: Language-Guided Denoising Network for Video-Language Modeling
Authors: Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu
Affiliations: The University of Hong Kong, Pokfulam, Hong Kong; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China; JD Corporation, Beijing, China
Conference: nips 2022 (main track)
Keywords: video-language modeling;video-text retrieval;language supervision;cross-modal alignment
Decision: Poster
Title: Fair Bayes-Optimal Classifiers Under Predictive Parity
Authors: Xianli Zeng, Edgar Dobriban, Guang Cheng
Affiliations: University of California, Los Angeles, Los Angeles, CA 90095; University of Pennsylvania, Philadelphia, PA 19104; NUS (Chongqing) Research Institute, Chongqing, China
Conference: nips 2022 (main track)
Keywords: Fair Bayes-optimal classifier;Predictive parity;Group-wise thresholding rule;Fair-Bayes-DPP algorithm
Decision: Poster
Title: Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Authors: Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel
Affiliations: Department of Computer Science, University of North Carolina at Chapel Hill
Conference: nips 2022 (main track)
Keywords: few-shot learning;in-context learning;parameter-efficient training
Decision: Poster
Title: Symbolic Distillation for Learned TCP Congestion Control
Authors: S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
Affiliations: University of Texas at Austin; Rice University
Conference: nips 2022 (main track)
Keywords: symbolic regression;TCP congestion control;efficiency;interpretability
Decision: Poster
Title: Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs
Authors: Shinji Ito, Taira Tsuchiya, Junya Honda
Affiliations: Kyoto University, Kyoto, Japan; RIKEN AIP, Tokyo, Japan; NEC Corporation, Tokyo, Japan; RIKEN AIP, Tokyo, Japan
Conference: nips 2022 (main track)
Keywords: multi-armed bandit;learning with feedback graphs;best-of-both-worlds algorithm;follow the regularized leader
Decision: Poster
Title: Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement
Authors: Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
Affiliations: Business Intelligence Lab, Baidu Research and Zhejiang University, China; Business Intelligence Lab, Baidu Research
Conference: nips 2022 (main track)
Keywords: Time Series Forecasting;Generative Modeling;Diffusion Probabilistic Model
Decision: Poster
Title: D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
Authors: Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Oztireli
Affiliations: Google Research, Simon Fraser University; University of Cambridge; Google Research, University of Cambridge; Google Research
Conference: nips 2022 (main track)
Keywords: Scene Decomposition;Video Segmentation;Novel View Synthesis
Decision: Poster
Title: Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty
Authors: Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
Affiliations: NAVER AI Lab, Seongnam, South Korea; KAIST AI, Seoul, South Korea; NAVER AI Lab, SNU AIIS, Seongnam, South Korea; KAIST DS, Daejeon, South Korea
Conference: nips 2022 (main track)
Keywords: Cross-domain Few-shot Learning;Pre-training;Domain Similarity;Few-Shot Difficulty
Decision: Poster
Title: A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning
Authors: Seunghyuk Cho, Juyong Lee, Jaesik Park, Dongwoo Kim
Affiliations: GSAI POSTECH; CSED POSTECH
Conference: nips 2022 (main track)
Keywords: Hyperbolic space;Hierarchical representation learning;Distribution in Riemannian manifold
Decision: Poster
Title: Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
Authors: Gergely Neu, Iuliia Olkhovskaia, Matteo Papini, Ludovic Schwartz
Affiliations: Universitat Pompeu Fabra, Barcelona, Spain; Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Conference: nips 2022 (main track)
Keywords: Thompson sampling;contextual bandits;information ratio
Decision: Poster
Title: Distributionally Adaptive Meta Reinforcement Learning
Authors: Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal
Affiliations: Improbable AI Lab, University of California, Berkeley, Massachusetts Institute Technology; Improbable AI Lab, MIT-IBM Watson AI Lab, Massachusetts Institute Technology; University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: Meta reinforcement learning;Distributional robustness
Decision: Poster
Title: When to Intervene: Learning Optimal Intervention Policies for Critical Events
Authors: Niranjan Damera Venkata, Chiranjib Bhattacharyya
Affiliations: Digital and Transformation Organization, HP Inc., Chennai, India; Dept. of CSA and RBCCPS, Indian Institute of Science, Bangalore, India
Conference: nips 2022 (main track)
Keywords: time-series;neural survival analysis;optimal stopping
Decision: Poster
Title: Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization
Authors: Yang Zhao, Chen Zhang, Haifeng Huang, Haoyuan Li, Zhou Zhao
Affiliations: Zhejiang University; Zhejiang University, Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies
Conference: nips 2022 (main track)
Keywords: sounding object localization;knowledge transfer;multi-modal;zero-resource learning
Decision: Poster
Title: Out-of-Distribution Detection via Conditional Kernel Independence Model
Authors: Yu Wang, Jingjing Zou, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei
Affiliations: University of California, San Diego, USA; Qiyuan Lab, Beijing, China; JD AI Research, Beijing, China; Sun Yat-sen University, Guangzhou, China
Conference: nips 2022 (main track)
Keywords: out-of-distribution detection;Hilbert-Schmidt Independence Criterion
Decision: Poster
Title: Data-Driven Conditional Robust Optimization
Authors: Abhilash Reddy Chenreddy, Nymisha Bandi, Erick Delage
Affiliations: GERAD & Dept. of Decision Sciences, HEC Montréal, Montréal, Quebec, Canada; McGill University, Montréal, Quebec, Canada
Conference: nips 2022 (main track)
Keywords: Robust Optimization;Contextual Optimization;Conditional Stochastic Optimization;Unsupervised learning;Deep Neural Networks;Conditional Robust Optimization
Decision: Poster
Title: The alignment property of SGD noise and how it helps select flat minima: A stability analysis
Authors: Lei Wu, Mingze Wang, Weijie Su
Affiliations: Department of Statistics and Data Science, University of Pennsylvania; School of Mathematical Sciences, Peking University
Conference: nips 2022 (main track)
Keywords: Flat minima;stochastic gradient descent;linear stability;implicit regularization;neural network
Decision: Poster
Title: DP-PCA: Statistically Optimal and Differentially Private PCA
Authors: Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh
Affiliations: Paul Allen School of Computer Science & Engineering, University of Washington, and Google Research; Paul Allen School of Computer Science & Engineering, University of Washington; Google Research
Conference: nips 2022 (main track)
Keywords: differential privacy;principal component analysis;private estimation
Decision: Poster
Title: AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection
Authors: Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad
Affiliations: University of Bucharest; Bitdefender, Romania; Politehnica University of Bucharest
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: non-stationary;distribution shift;anomaly;unsupervised;network intrusion detection;network traffic;natural distribution shifts
Decision: Poster