CHACHA FOR ONLINE AUTOML (Englisch)
- Neue Suche nach: WU, QINGYUN
- Neue Suche nach: WANG, CHI
- Neue Suche nach: LANGFORD, JOHN
- Neue Suche nach: MINEIRO, PAUL
- Neue Suche nach: ROSSI, MARCO
- Neue Suche nach: WU, QINGYUN
- Neue Suche nach: WANG, CHI
- Neue Suche nach: LANGFORD, JOHN
- Neue Suche nach: MINEIRO, PAUL
- Neue Suche nach: ROSSI, MARCO
In:
International Conference on Machine Learning (ICML 2021 ; Part 14 of 16
; 11253-11263
;
2022
- Aufsatz (Konferenz) / Print
-
Titel:CHACHA FOR ONLINE AUTOML
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Beteiligte:WU, QINGYUN ( Autor:in ) / WANG, CHI ( Autor:in ) / LANGFORD, JOHN ( Autor:in ) / MINEIRO, PAUL ( Autor:in ) / ROSSI, MARCO ( Autor:in )
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Kongress:International Conference on Machine Learning ; 38. ; 2021 ; Online
-
Erschienen in:
-
Verlag:
- Neue Suche nach: Curran Associates, Inc.
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Erscheinungsort:Red Hook, NY
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Erscheinungsdatum:2022
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Medientyp:Aufsatz (Konferenz)
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Format:Print
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Sprache:Englisch
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Datenquelle:
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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ZERO-SHOT KNOWLEDGE DISTILLATION FROM A DECISION-BASED BLACK-BOX MODELWANG, ZI et al. | 2022
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FAIRNESS OF EXPOSURE IN STOCHASTIC BANDITSWANG, LEQUN / BAI, YIWEI / SUN, WEN / JOACHIMS, THORSTEN et al. | 2022
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A PROXY VARIABLE VIEW OF SHARED CONFOUNDINGWANG, YIXIN / BLEI, DAVID M. et al. | 2022
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FAST ALGORITHMS FOR STACKELBERG PREDICTION GAME WITH LEAST SQUARES LOSSWANG, JIALI / CHEN, HE / JIANG, RUJUN / LI, XUDONG / LI, ZIHAO et al. | 2022
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ACCELERATE CNNS FROM THREE DIMENSIONS: A COMPREHENSIVE PRUNING FRAMEWORKWANG, WENXIAO / CHEN, MINGHAO / ZHAO, SHUAI / CHEN, LONG / HU, JINMING / LIU, HAIFENG / CAI, DENG / HE, XIAOFEI / LIU, WEI et al. | 2022
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EXPLAINABLE AUTOMATED GRAPH REPRESENTATION LEARNING WITH HYPERPARAMETER IMPORTANCEWANG, XIN / FAN, SHUYI / KUANG, KUN / ZHU, WENWU et al. | 2022
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SELF-TUNING FOR DATA-EFFICIENT DEEP LEARNINGWANG, XIMEI / GAO, JINGHAN / LONG, MINGSHENG / WANG, JIANMIN et al. | 2022
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LABEL DISTRIBUTION LEARNING MACHINEWANG, JING / GENG, XIN et al. | 2022
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ALPHANET: IMPROVED TRAINING OF SUPERNETS WITH ALPHA-DIVERGENCEWANG, DILIN / GONG, CHENGYUE / LI, MENG / LIU, QIANG / CHANDRA, VIKAS et al. | 2022
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GLOBAL CONVERGENCE OF POLICY GRADIENT FOR LINEAR-QUADRATIC MEAN-FIELD CONTROL/GAME IN CONTINUOUS TIMEWANG, WEICHEN / HAN, JIEQUN / YANG, ZHUORAN / WANG, ZHAORAN et al. | 2022
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SG-PALM: A FAST PHYSICALLY INTERPRETABLE TENSOR GRAPHICAL MODELWANG, YU / HERO, ALFRED et al. | 2022
- 10784
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DEEP GENERATIVE LEARNING VIA SCHRÖDINGER BRIDGEWANG, GEFEI / JIAO, YULING / XU, QIAN / WANG, YANG / YANG, CAN et al. | 2022
- 10795
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ROBUST INFERENCE FOR HIGH-DIMENSIONAL LINEAR MODELS VIA RESIDUAL RANDOMIZATIONWANG, Y. SAMUEL / LEE, SI KAI / TOULIS, PANOS / KOLAR, MLADEN et al. | 2022
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A MODULAR ANALYSIS OF PROVABLE ACCELERATION VIA POLYAK'S MOMENTUM: TRAINING A WIDE RELU NETWORK AND A DEEP LINEAR NETWORKWANG, JUN-KUN / LIN, CHI-HENG / ABERNETHY, JACOB et al. | 2022
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OPTIMAL NON-CONVEX EXACT RECOVERY IN STOCHASTIC BLOCK MODEL VIA PROJECTED POWER METHODWANG, PENG / LIU, HUIKANG / ZHOU, ZIRUI / SO, ANTHONY MAN-CHO et al. | 2022
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CONVEXVST: A CONVEX OPTIMIZATION APPROACH TO VARIANCE-STABILIZING TRANSFORMATIONWANG, MENGFAN / LYU, BOYU / YU, GUOQIANG et al. | 2022
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THE IMPLICIT BIAS FOR ADAPTIVE OPTIMIZATION ALGORITHMS ON HOMOGENEOUS NEURAL NETWORKSWANG, BOHAN / MENG, QI / CHEN, WEI / LIU, TIE-YAN et al. | 2022
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AN EXACT SOLVER FOR THE WESTON-WATKINS SVM SUBPROBLEMWANG, YUTONG / SCOTT, CLAYTON et al. | 2022
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QUANTUM ALGORITHMS FOR REINFORCEMENT LEARNING WITH A GENERATIVE MODELWANG, DAOCHEN / SUNDARAM, AARTHI / KOTHARI, ROBIN / KAPOOR, ASHISH / ROET℡ER, MARTIN et al. | 2022
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MATRIX COMPLETION WITH MODEL-FREE WEIGHTINGWANG, JIAYI / WONG, RAYMOND K. W. / MAO, XIAOJUN / CHAN, KWUN CHUEN GARY et al. | 2022
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UNISPEECH: UNIFIED SPEECH REPRESENTATION LEARNING WITH LABELED AND UNLABELED DATAWANG, CHENGYI / WU, YU / QIAN, YAO / KUMATANI, KENICHI / LIU, SHUJIE / WEI, FURU / ZENG, MICHAEL / HUANG, XUEDONG et al. | 2022
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INSTABILITIES OF OFFLINE RL WITH PRE-TRAINED NEURAL REPRESENTATIONWANG, RUOSONG / WU, YIFAN / SALAKHUTDINOV, RUSLAN / KAKADE, SHAM M. et al. | 2022
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LEARNING TO WEIGHT IMPERFECT DEMONSTRATIONSWANG, YUNKE / XU, CHANG / DU, BO / LEE, HONGLAK et al. | 2022
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EVOLVING ATTENTION WITH RESIDUAL CONVOLUTIONSWANG, YUJING / YANG, YAMING / BAI, JIANGANG / ZHANG, MINGLIANG / BAI, JING / YU, JING / ZHANG, CE / HUANG, GAO / TONG, YUNHAI et al. | 2022
- 10971
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GUARANTEES FOR TUNING THE STEP SIZE USING A LEARNING-TO-LEARN APPROACHWANG, XIANG / YUAN, SHUAI / WU, CHENWEI / GE, RONG et al. | 2022
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TOWARDS BETTER LAPLACIAN REPRESENTATION IN REINFORCEMENT LEARNING WITH GENERALIZED GRAPH DRAWINGWANG, KAIXIN / ZHOU, KUANGQI / ZHANG, QIXIN / SHAO, JIE / HOOI, BRYAN / FENG, JIASHI et al. | 2022
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ROBUST ASYMMETRIC LEARNING IN POMDPSWARRINGTON, ANDREW / LAVINGTON, J. WILDER / SCIBIOR, ADAM / WOOD, MARK SCHMIDT & FRANK et al. | 2022
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DECISION-MAKING UNDER SELECTIVE LABELS: OPTIMAL FINITE-DOMAIN POLICIES AND BEYONDWEI, DENNIS et al. | 2022
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INFERRING SERIAL CORRELATION WITH DYNAMIC BACKGROUNDSWEI, SONG / XIE, YAO / RAHNEV, DOBROMIR et al. | 2022
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META-LEARNING HYPERPARAMETER PERFORMANCE PREDICTION WITH NEURAL PROCESSESWEI, YING / ZHAO, PEILIN / HUANG, JUNZHOU et al. | 2022
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A STRUCTURED OBSERVATION DISTRIBUTION FOR GENERATIVE BIOLOGICAL SEQUENCE PREDICTION AND FORECASTINGWEINSTEIN, ELI N. / MARKS, DEBORA S. et al. | 2022
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THINKING LIKE TRANSFORMERSWEISS, GAIL / GOLDBERG, YOAV / YAHAV, ERAN et al. | 2022
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LEVERAGED WEIGHTED LOSS FOR PARTIAL LABEL LEARNINGWEN, HONGWEI / CUI, JINGYI / HANG, HANYUAN / LIU, JIABIN / WANG, YISEN / LIN, ZHOUCHEN et al. | 2022
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CHARACTERIZING THE GAP BETWEEN ACTOR-CRITIC AND POLICY GRADIENTWEN, JUNFENG / KUMAR, SAURABH / GUMMADI, RAMKI / SCHUURMANS, DALE et al. | 2022
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KEYFRAME-FOCUSED VISUAL IMITATION LEARNINGWEN, CHUAN / LIN, JIERUI / QIAN, JIANING / GAO, YANG / JAYARAMAN, DINESH et al. | 2022
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SOLVING INVERSE PROBLEMS WITH A FLOW-BASED NOISE MODELWHANG, JAY / LEI, QI / DIMAKIS, ALEX et al. | 2022
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COMPOSING NORMALIZING FLOWS FOR INVERSE PROBLEMSWHANG, JAY / LINDGREN, ERIK / DIMAKIS, ALEX et al. | 2022
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PREDICTION-CENTRIC LEARNING OF INDEPENDENT CASCADE DYNAMICS FROM PARTIAL OBSERVATIONSWILINSKI, MATEUSZ / LOKHOV, ANDREY Y. et al. | 2022
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LEARNING NEURAL NETWORK SUBSPACESWORTSMAN, MITCHELL / HORTON, MAXWELL C. / GUESTRIN, CARLOS / FARHADI, ALI / RASTEGARI, MOHAMMAD et al. | 2022
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