Browsing by Author Gu, Quanquan

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TitleAuthor(s)Issue DateViews
 
A generalized neural tangent kernel analysis for two-layer neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
Chen, ZixiangCao, YuanGu, QuanquanZhang, Tong
2020
 
Agnostic learning of a single neuron with gradient descent
Proceeding/Conference:Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
Frei, SpencerCao, YuanGu, Quanquan
2020
 
Algorithm-dependent generalization bounds for overparameterized deep residual networks
Proceeding/Conference:Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Frei, SpencerCao, YuanGu, Quanquan
2019
 
An improved analysis of training over-parameterized deep neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems
Zou, DifanGu, Quanquan
2019
2
 
Benign Overfitting in Two-layer Convolutional Neural Networks
Proceeding/Conference:NeurIPS 2022 (28/11/2022-09/12/2022, New Orleans )
Cao, YuanChen, ZixiangBelkin, MikhailGu, Quanquan
9-Dec-2022
 
Closing the generalization gap of adaptive gradient methods in training deep neural networks
Proceeding/Conference:Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Chen, JinghuiZhou, DongruoTang, YiqiYang, ZiyanCao, YuanGu, Quanquan
2020
 
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Journal:Proceedings of the National Academy of Sciences of the United States of America
Cramer, Estee Y.Ray, Evan L.Lopez, Velma K.Bracher, JohannesBrennen, AndreaCastro Rivadeneira, Alvaro J.Gerding, AaronGneiting, TilmannHouse, Katie H.Huang, YuxinJayawardena, DasuniTurtle, James A.Ben-Nun, MichalRiley, StevenRiley, PeteKoyluoglu, UgurDesRoches, DavidForli, PedroHamory, BruceKyriakides, ChristinaLeis, HelenKanji, Abdul H.Milliken, JohnMoloney, MichaelMorgan, JamesNirgudkar, NinadOzcan, GokcePiwonka, NoahRavi, MattSchrader, ChrisShakhnovich, ElizabethSiegel, DanielKhandelwal, AyushSpatz, RyanStiefeling, ChrisWilkinson, BarrieWong, AlexanderCavany, SeanEspaña, GuidoMoore, SeanOidtman, RachelPerkins, AlexKraus, DavidLe, KhoaKraus, AndreaGao, ZhifengBian, JiangCao, WeiLavista Ferres, JuanLi, ChaozhuoLiu, Tie YanXie, XingZhang, ShunZheng, ShunMühlemann, AnjaVespignani, AlessandroChinazzi, MatteoDavis, Jessica T.Mu, KunpengPastore Y Piontti, AnaXiong, XinyueZheng, AndrewBaek, JackieFarias, VivekGeorgescu, AndreeaNiemi, JaradLevi, RetsefSinha, DeekshaWilde, JoshuaPerakis, GeorgiaBennouna, Mohammed AmineNze-Ndong, DavidSinghvi, DivyaSpantidakis, IoannisThayaparan, LeannTsiourvas, AsteriosShah, ApurvSarker, ArnabJadbabaie, AliShah, DevavratDella Penna, NicolasCeli, Leo A.Sundar, SakethWolfinger, RussOsthus, DaveCastro, LaurenFairchild, GeoffreyStark, ArianeMichaud, IsaacKarlen, DeanKinsey, MattMullany, Luke C.Rainwater-Lovett, KaitlinShin, LaurenTallaksen, KatharineWilson, ShelbyLee, Elizabeth C.Dent, JuanWang, YijinGrantz, Kyra H.Hill, Alison L.Kaminsky, JoshuaKaminsky, KathrynKeegan, Lindsay T.Lauer, Stephen A.Lemaitre, Joseph C.Lessler, JustinMeredith, Hannah R.Perez-Saez, JavierWattanachit, NutchaShah, SamSmith, Claire P.Truelove, Shaun A.Wills, JoshMarshall, MaximilianGardner, LaurenNixon, KristenBurant, John C.Wang, LilyGao, LeiZorn, Martha W.Gu, ZhilingKim, MyungjinLi, XinyiWang, GuannanWang, YueyingYu, ShanReiner, Robert C.Barber, RyanGakidou, EmmanuelaHay, Simon I.Gu, YouyangLim, SteveMurray, ChrisPigott, DavidGurung, Heidi L.Baccam, PrasithStage, Steven A.Suchoski, Bradley T.Prakash, B. AdityaAdhikari, BijayaCui, JiamingJain, SansiddhRodríguez, AlexanderTabassum, AnikaXie, JiajiaKeskinocak, PinarAsplund, JohnBaxter, ArdenOruc, Buse EylulSerban, NicoletaArik, Sercan O.Dusenberry, MikeBannur, NayanaEpshteyn, ArkadyKanal, ElliLe, Long T.Li, Chun LiangPfister, TomasSava, DarioSinha, RajarishiTsai, ThomasYoder, NateYoon, JinsungDeva, AyushZhang, LeyouAbbott, SamBosse, Nikos I.Funk, SebastianHellewell, JoelMeakin, Sophie R.Sherratt, KatharineZhou, MingyuanKalantari, RahiYamana, Teresa K.Kulkarni, MihirPei, SenShaman, JeffreyLi, Michael L.Bertsimas, DimitrisSkali Lami, OmarSoni, SakshamTazi Bouardi, HamzaAyer, TurgayAdee, MadelineChhatwal, JagpreetMerugu, SrujanaDalgic, Ozden O.Ladd, Mary A.Linas, Benjamin P.Mueller, PeterXiao, JadeWang, YuanjiaWang, QinxiaXie, ShanghongZeng, DonglinGreen, AldenRaval, AlpanBien, JacobBrooks, LoganHu, Addison J.Jahja, MariaMcDonald, DanielNarasimhan, BalasubramanianPolitsch, CollinRajanala, SamyakRumack, AaronSimon, NoahShingi, SiddhantTibshirani, Ryan J.Tibshirani, RobVentura, ValerieWasserman, LarryO'Dea, Eamon B.Drake, John M.Pagano, RobertTran, Quoc T.Ho, Lam Si TungHuynh, HuongTiwari, AvtanshWalker, Jo W.Slayton, Rachel B.Johansson, Michael A.Biggerstaff, MatthewReich, Nicholas G.White, JeromeAbernethy, Neil F.Woody, SpencerDahan, MaytalFox, SpencerGaither, KellyLachmann, MichaelMeyers, Lauren AncelScott, James G.Tec, MauricioSrivastava, AjiteshGeorge, Glover E.Cegan, Jeffrey C.Dettwiller, Ian D.England, William P.Farthing, Matthew W.Hunter, Robert H.Lafferty, BrandonLinkov, IgorMayo, Michael L.Parno, Matthew D.Rowland, Michael A.Trump, Benjamin D.Zhang-James, YanliChen, SamuelFaraone, Stephen V.Hess, JonathanMorley, Christopher P.Salekin, AsifWang, DongliangCorsetti, Sabrina M.Baer, Thomas M.Eisenberg, Marisa C.Falb, KarlHuang, YitaoMartin, Emily T.McCauley, EllaMyers, Robert L.Schwarz, TomSheldon, DanielGibson, Graham CaseyYu, RoseGao, LiyaoMa, YianWu, DongxiaYan, XifengJin, XiaoyongWang, Yu XiangChen, Yang QuanGuo, LihongZhao, YantingGu, QuanquanChen, JinghuiWang, LingxiaoXu, PanZhang, WeitongZou, DifanBiegel, HannahLega, JocelineMcConnell, SteveNagraj, V. P.Guertin, Stephanie L.Hulme-Lowe, ChristopherTurner, Stephen D.Shi, YunfengBan, XuegangWalraven, RobertHong, Qi JunKong, Stanleyvan de Walle, Axel
2022
3
 
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling
Proceeding/Conference:37th Conference on Uncertainty in Artificial Intelligence, UAI 2021
Zou, DifanXu, PanGu, Quanquan
2021
 
Generalization bounds of stochastic gradient descent for wide and deep neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Cao, YuanGu, Quanquan
2019
 
Generalization error bounds of gradient descent for learning over-parameterized deep relu networks
Proceeding/Conference:Proceedings of the AAAI Conference on Artificial Intelligence
Cao, YuanGu, Quanquan
2020
 
Global convergence of Langevin dynamics based algorithms for nonconvex optimization
Proceeding/Conference:Advances in Neural Information Processing Systems
Xu, PanZou, DifanChen, JinghuiGu, Quanquan
2018
 
Gradient descent optimizes over-parameterized deep ReLU networks
Journal:Machine Learning
Zou, DifanCao, YuanZhou, DongruoGu, Quanquan
2020
 
Laplacian smoothing stochastic gradient markov chain monte carlo
Journal:SIAM Journal on Scientific Computing
WANG, BAOZOU, DIFANGU, QUANQUANOSHER, STANLEY J.
2021
 
Layer-dependent importance sampling for training deep and large graph convolutional networks
Proceeding/Conference:Advances in Neural Information Processing Systems
Zou, DifanHu, ZiniuWang, YewenJiang, SongSun, YizhouGu, Quanquan
2019
2
 
Learning High-Dimensional Single-Neuron ReLU Networks with Finite Samples
Proceeding/Conference:International Conference on Machine Learning (17/07/2022-23/07/2022, Baltimore)
Wu, JingfengZou, DifanChen, ZixiangBraverman, VladimirGu, QuanquanKakade, Sham M
23-Jul-2022
 
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Proceeding/Conference:Advances in Neural Information Processing Systems (28/11/2022-09/12/2022, New Orleans)
Zou, DifanWu, JingfengBraverman, VladimirGu, QuanquanKakade, Sham M
12-Dec-2022
 
Sampling from non-log-concave distributions via stochastic variance-reduced gradient Langevin dynamics
Proceeding/Conference:AISTATS 2019 - 22nd International Conference on Artificial Intelligence and Statistics
Zou, DifanXu, PanGu, Quanquan
2020
 
Stochastic gradient hamiltonian monte carlo methods with recursive variance reduction
Proceeding/Conference:Advances in Neural Information Processing Systems
Zou, DifanXu, PanGu, Quanquan
2019
1
 
Stochastic variance-reduced Hamilton Monte Carlo methods
Proceeding/Conference:35th International Conference on Machine Learning, ICML 2018
Zou, DifanXu, PanGu, Quanquan
2018
3
 
Subsampled stochastic variance-reduced gradient langevin dynamics
Proceeding/Conference:34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018
Zou, DifanXu, PanGu, Quanquan
2018
5
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