AMORTIZED VARIANCE REDUCTION FOR DOUBLY STOCHASTIC OBJECTIVE
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2021 |
BOUSTATI, AYMAN |
REGRET BOUNDS FOR DECENTRALIZED LEARNING IN COOPERATIVE MULTI-AGENT
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2021 |
ASGHARI, SEYED MOHAMMAD |
NONPARAMETRIC FISHER GEOMETRY WITH APPLICATION TO DENSITY ESTIMATION
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2021 |
HOLBROOK, ANDREW |
KIDNEY EXCHANGE WITH INHOMOGENEOUS EDGE EXISTENCE UNCERTAINTY
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2021 |
BIDKHORI, HODA |
ON THE DESIGN OF CONSEQUENTIAL RANKING ALGORITHMS
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2021 |
TABIBIAN, BEHZAD |
TESTING GOODNESS OF FIT OF CONDITIONAL DENSITY MODELS WITH KERNELS
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2021 |
JITKRITTUM, WITTAWAT |
ROBUST COLLECTIVE CLASSIFICATION AGAINST STRUCTURAL ATTACKS
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2021 |
ZHOU, KAI |
STATISTICALLY EFFICIENT GREEDY EQUIVALENCE SEARCH
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2021 |
CHICKERING, MAX |
WALKING ON TWO LEGS: LEARNING IMAGE SEGMENTATION WITH NOISY LABELS
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2021 |
CHENG, GUOHUA |
SKEWNESS RANKING OPTIMIZATION FOR PERSONALIZED RECOMMENDATION
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2021 |
CHUANG, YU-NENG |
NEURAL LIKELIHOODS VIA CUMULATIVE DISTRIBUTION FUNCTIONS
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2021 |
CHILINSKI, PAWEL |
WHAT YOU SEE MAY NOT BE WHAT YOU GET: UCB BANDIT ALGORITHMS ROBUST TO E-CONTAMINATION
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2021 |
NISS, LAURA |
SEMI-SUPERVISED LEARNING, CAUSALITY, AND THE CONDITIONAL CLUSTER ASSUMTION
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2021 |
KÜGELGEN, JULIUS |
LEARNING INTRINSIC REWARDS AS A BI-LEVEL OPTIMIZATION PROBLEM
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2021 |
STADIE, BRADLY |
LEARNING BEHAVIORS WITH UNCERTAIN HUMAN FEEDBACK
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2021 |
HE, XU |
AMORTIZED NESTEROV’S MOMENTUM: A ROBUST MOMENTUM AND ITS APPLICATION TO DEEP LEARNING
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2021 |
ZHOU, KAIWEN |
CORESETS FOR ESTIMATING MEANS AND MEAN SQUARE ERROR WITH LIMITED GREEDY SAMPLES
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2021 |
VAHIDIAN, SAEED |
ELECTION CONTROL BY MANIPULATING ISSUE SIGNIFICANCE
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2021 |
ESTORNELL, ANDREW |
A SIMPLE ONLINE ALGORITHM FOR COMPETING WITH DYNAMIC COMPARATORS
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2021 |
ZHANG, YU-JIE |
UNKNOWN MIXING TIMES IN APPRENTICESHIP AND REINFORCEMENT LEARNING
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2021 |
ZAHAVY, TOM |