Browsing by Author Gu, Quanquan

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TitleAuthor(s)Issue DateViews
 
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
 
The Benefits of Implicit Regularization from SGD in Least Squares Problems
Proceeding/Conference:Advances in Neural Information Processing Systems
Zou, DifanWu, JingfengBraverman, VladimirGu, QuanquanFoster, Dean P.Kakade, Sham M.
2021
12
 
The Benefits of Mixup for Feature Learning
Proceeding/Conference:Fortieth International Conference on Machine Learning (ICML) (23/07/2023-29/07/2023, Honolulu, Hawaii, USA)
Zou, DifanCao, YuanLi, YuanzhiGu, Quanquan
23-Jul-2023
 
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks
Proceeding/Conference:36th Annual Conference on Learning Theory (COLT 2023) (12/07/2023-15/07/2023, Bangalore, India)
Cao, YuanZou, DifanLi, YuanzhiGu, Quanquan
15-Jul-2023
 
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
Proceeding/Conference:Advances in Neural Information Processing Systems (28/11/2022-09/12/2022, New Orleans)
Wu, JingfengZou, DifanBraverman, VladimirGu, QuanquanKakade, and Sham M
12-Dec-2022
 
The United States COVID-19 Forecast Hub dataset
Journal:Scientific Data
Cramer, Estee Y.Huang, YuxinWang, YijinRay, Evan L.Cornell, MatthewBracher, JohannesBrennen, AndreaRivadeneira, Alvaro J.CastroGerding, AaronHouse, KatieJayawardena, DasuniSinha, RajarishiTsai, ThomasYoder, NateYoon, JinsungZhang, LeyouWang, LiqiangWilson, DanielBelov, Artur A.Chow, Carson C.Zhang, ShunLauer, Stephen A.Shrivastav, MonikaGerkin, Richard C.Yogurtcu, Osman N.Ibrahim, MarkLacroix, TimotheeLe, MatthewLiao, JasonZhang, ShunpuNickel, MaximilianSagun, LeventLee, Elizabeth C.Wattanchit, NutchaAbbott, SamBosse, Nikos I.You, JialuFunk, SebastianHellewell, JoelMeakin, Sophie R.Sherratt, KatharineKalantari, RahiZou, ZihangLemaitre, Joseph C.Zhou, MingyuanGuo, LihongKarimzadeh, MortezaLucas, BenjaminNgo, ThoaiZoraghein, HamidrezaBannur, NayanaVahedi, BehzadWang, ZhongyingSen Pei,Lessler, JustinShaman, JeffreyBiegel, HannahZheng, ShunYamana, Teresa K.Bertsimas, DimitrisLi, Michael L.Soni, SakshamBouardi, Hamza TaziAdee, MadelineDeva, AyushMeredith, Hannah R.Ayer, TurgayChhatwal, JagpreetDalgic, Ozden O.Chinazzi, MatteoLega, JocelineLadd, Mary A.Linas, Benjamin P.Mueller, PeterXiao, JadeBosch, JurgenChintanippu, KrishnaWilson, AustinZimmerman, PeterJain, SansiddhWang, QinxiaVespignani, AlessandroWang, YuanjiaHussain, FazleXie, ShanghongZeng, DonglinBien, JacobPerez-Saez, JavierBrooks, LoganGreen, AldenHu, Addison J.Jahja, MariaMcDonald, DanielXiong, XinyueKulkarni, MihirNarasimhan, BalasubramanianKhandelwal, AyushPolitsch, CollinShah, SamRajanala, SamyakRumack, AaronSimon, NoahTibshirani, Ryan J.Tibshirani, RobVentura, ValerieDavis, Jessica T.Wasserman, LarryDrake, John M.Merugu, SrujanaSmith, Claire P.Khan, ZeinaO’Dea, Eamon B.Abu-Mostafa, YaserBathwal, RahilChang, Nicholas A.Chitta, PavanErickson, AnneMu, KunpengGoel, SumitGowda, JethinChattopadhyay, IshanuJin, QixuanJo, Hyeong ChanVan Bussel, FrankRaval, AlpanKim, JuhyunKulkarni, PranavLushtak, Samuel M.Mann, EthanPiontti, Ana Pastore y.Popken, MaxKraus, DavidSoohoo, ConnorTirumala, KushalTseng, AlbertVaradarajan, VigneshMcConnell, SteveVytheeswaran, JagathShingi, SiddhantWang, ChristopherYeluri, AkshayBaek, JackieTruelove, Shaun A.Yurk, DominicZhang, MichaelZlokapa, AlexanderPagano, RobertJain, ChandiniTomar, VishalGuertin, Stephanie L.Ho, LamHuynh, HuongTiwari, AvtanshWills, JoshFarias, VivekTran, QuocLopez, Velma K.Walker, Jo W.Slayton, Rachel B.Johansson, Michael A.Biggerstaff, MatthewReich, Nicholas G.Hulme-Lowe, ChristopherWhite, JeromeGardner, LaurenAdiga, AniruddhaGeorgescu, AndreeaHurt, BenjaminLewis, BryanMarathe, MadhavPeddireddy, Akhil SaiPorebski, PrzemyslawVenkatramanan, SrinivasanWang, LijingDahan, MaytalMarshall, MaximilianNagraj, V. P.Fox, SpencerZhao, YantingGaither, KellyLachmann, MichaelMeyers, Lauren AncelScott, James G.Tec, MauricioWoody, SpencerSrivastava, AjiteshNixon, KristenXu, TianjianCegan, Jeffrey C.Turner, Stephen D.Zorn, Martha W.Dettwiller, Ian D.England, William P.Farthing, Matthew W.George, Glover E.Hunter, Robert H.Lafferty, BrandonBurant, John C.Linkov, IgorMayo, Michael L.Parno, Matthew D.Rowland, Michael A.Levi, RetsefBejar, BenjamínTrump, Benjamin D.Chen, SamuelFaraone, Stephen V.Hess, JonathanBudzinski, JozefMorley, Christopher P.Salekin, AsifWang, DongliangZhang-James, YanliBaer, Thomas M.Sinha, DeekshaCorsetti, Sabrina M.Choirat, ChristineEisenberg, Marisa C.Falb, KarlJivane, VireshHuang, YitaoMartin, Emily T.McCauley, EllaMyers, Robert L.Schwarz, TomGibson, Graham CaseyWilde, JoshuaSheldon, DanielGao, LiyaoFlahault, AntoineChiang, Wen HaoMa, YianWu, DongxiaYu, RoseJin, XiaoyongWang, Yu XiangYan, XifengChen, Yang QuanZheng, AndrewLe, KhoaKrymova, EkaterinaMohler, GeorgeLee, GavinManetti, ElisaNamigai, KristenObozinski, GuillaumeSun, TaoThanou, DorinaBan, XuegangShi, YunfengLami, Omar SkaliWalraven, RobertBian, JiangMody, VidhiHong, Qi Junvan de Walle, AxelBen-Nun, MichalRiley, StevenRiley, PeteTurtle, JamesCao, DuyGalasso, JosephBennouna, AmineHuang, YiCho, Jae H.Jo, AreumMody, VrushtiDesRoches, DavidForli, PedroHamory, BruceKoyluoglu, UgurKyriakides, ChristinaLeis, HelenMilliken, JohnGao, JunyiNdong, David NzeMoloney, MichaelMorgan, JamesNirgudkar, NinadNiemi, JaradOzcan, GokcePiwonka, NoahRavi, MattSchrader, ChrisShakhnovich, ElizabethGlass, LucasSiegel, DanielPerakis, GeorgiaSpatz, RyanStiefeling, ChrisWilkinson, BarrieWong, AlexanderStark, ArianeCavany, SeanEspaña, GuidoMoore, SeanQian, ChengOidtman, RachelPerkins, AlexSinghvi, DivyaIvy, Julie S.Mayorga, Maria E.Mele, JessicaRosenstrom, Erik T.Swann, Julie L.Shah, ApurvKraus, AndreaRomberg, JustinChen, JinghuiSpantidakis, IoannisReich, Nicholas G.Thayaparan, LeannTsiourvas, AsteriosWeisberg, ShaneJadbabaie, AliSarker, ArnabShah, DevavratCeli, Leo A.Sharma, RakshithPenna, Nicolas D.Gu, QuanquanSundar, SakethBerlin, AbrahamGneiting, TilmannGandhi, Parth D.McAndrew, ThomasPiriya, MatthewChen, YeHlavacek, WilliamSpaeder, JeffreyLin, Yen TingMallela, AbhishekWang, LingxiaoMiller, ElyNeumann, JacobPosner, RichardMühlemann, AnjaWolfinger, RussCastro, LaurenFairchild, GeoffreySun, JimengMichaud, IsaacOsthus, DaveWolffram, DanielXu, PanKarlen, DeanPanaggio, Mark J.Kinsey, MattMullany, Luke C.Gu, YouyangRainwater-Lovett, KaitlinXiao, CaoShin, LaurenTallaksen, KatharineWilson, ShelbyBrenner, MichaelZhang, WeitongCoram, MarcEdwards, Jessie K.Joshi, KeyaKlein, EllenHulse, Juan DentKhurana, AnkitaChen, YixianGrantz, Kyra H.Hill, Alison L.Kaminsky, KathrynKaminsky, JoshuaZou, DifanKeegan, Lindsay T.Cao, WeiGao, LeiKanji, Abdul HannanGu, ZhilingKim, MyungjinLi, XinyiWang, YueyingWang, GuannanWang, LilyYu, ShanJain, ChamanGao, ZhifengBhatia, SangeetaKumar, AjayLu, GuoqingNouvellet, PierreBarber, RyanGaikedu, EmmanuelaHay, SimonLim, SteveMurray, ChrisPigott, DavidFerres, Juan LavistaReiner, Robert C.Baccam, PrasithGurung, Heidi L.Pfeiffer, RuthLakhani, AnshulStage, Steven A.Suchoski, Bradley T.Fong, Chung YanYeung, Dit YanAdhikari, BijayaLi, ChaozhuoCui, JiamingPrakash, B. AdityaRodríguez, AlexanderTabassum, AnikaSumner, TimothyXie, JiajiaMehrotra, PrakharAsplund, JohnBaxter, ArdenKeskinocak, PinarLiu, Tie YanOruc, Buse EylulSerban, NicoletaArik, Sercan O.Dusenberry, MikeEpshteyn, ArkadyWang, DongdongKanal, ElliLe, Long T.Pasumarty, SujithaLi, Chun LiangXie, XingPfister, Tomas
2022
6
 
Tight sample complexity of learning one-hidden-layer convolutional neural networks
Proceeding/Conference:Advances in Neural Information Processing Systems 32 (NeurIPS 2019)
Cao, YuanGu, Quanquan
2019
10
 
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Proceeding/Conference:International Conference on Learning Representations (ICLR 2023) (01/05/2023-05/05/2023, Kigali, Rwanda)
Zou, DifanCao, YuanLi, YuanzhiGu, Quanquan
5-May-2023
 
Understanding Train-Validation Split in Meta-Learning with Neural Networks
Proceeding/Conference:The 11th International Conference on Learning Representations (ICLR 2023) (01/05/2023-05/05/2023, Kigali, Rwanda)
Zuo, XinzheChen, ZixiangYao, HuaxiuCao, YuanGu, Quanquan
5-May-2023
Showing results 13 to 28 of 28 < previous