MULTI-OUTPUT GAUSSIAN PROCESSES FOR UNCERTAINTY-AWARE RECOMMENDER SYSTEMS
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2022 |
Yang, Yinchong |
STRATEGICALLY EFFICIENT EXPLORATION IN COMPETITIVE MULTI-AGENT REINFORCEMENT LEARNING
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2022 |
Loftin, Robert |
HIERARCHICAL LEARNING OF HIDDEN MARKOV MODELS WITH CLUSTERING REGULARIZATION
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2022 |
Lan, Hui |
INVESTIGATING VULNERABILITIES OF DEEP NEURAL POLICIES
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2022 |
Korkmaz, Ezgi |
CONTEXTUAL POLICY TRANSFER IN REINFORCEMENT LEARNING DOMAINS VIA DEEP MIXTURES-OF-EXPERTS
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2022 |
Gimelfarb, Michael |
NEAREST NEIGHBOR SEARCH UNDER UNCERTAINTY
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2022 |
Mason, Blake |
DIAGNOSTICS FOR CONDITIONAL DENSITY MODELS AND BAYESIAN INFERENCE ALGORITHMS
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2022 |
Zhao, David |
CONVERGENCE BEHAVIOR OF BELIEF PROPAGATION: ESTIMATING REGIONS OF ATTRACTION VIA LYAPUNOV FUNCTIONS
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2022 |
Leisenberger, Harald |
NON-PSD MATRIX SKETCHING WITH APPLICATIONS TO REGRESSION AND OPTIMIZATION
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2022 |
Feng, Zhili |
EXPLAINING FAST IMPROVEMENT IN ONLINE IMITATION LEARNING
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2022 |
Yan, Xinyan |
EXPLICIT PAIRWISE FACTORIZED GRAPH NEURAL NETWORK FOR SEMI-SUPERVISED NODE CLASSIFICATION
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2022 |
Wang, Yu |
EFFICIENT ONLINE INFERENCE FOR NONPARAMETRIC MIXTURE MODELS
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2022 |
Schaeffer, Rylan |
IDENTIFYING REGIONS OF TRUSTED PREDICTIONS
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2022 |
Ananthakrishnan, Nivasini |
SEQUENTIAL CORE-SET MONTE CARLO
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2022 |
Beronov, Boyan |
GEOMETRIC RATES OF CONVERGENCE FOR KERNEL-BASED SAMPLING ALGORITHMS
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2022 |
Khanna, Rajiv |
LEARNING TO LEARN WITH GAUSSIAN PROCESSES
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2022 |
Nguyen, Quoc Phong |
MINIMAX SAMPLE COMPLEXITY FOR TURN-BASED STOCHASTIC GAME
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2022 |
Cui, Qiwen |
TRUSTED-MAXIMIZERS ENTROPY SEARCH FOR EFFICIENT BAYESIAN OPTIMIZATION
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2022 |
Nguyen, Quoc Phong |
CONTINGENCY-AWARE INFLUENCE MAXIMIZATION: A REINFORCEMENT LEARNING APPROACH
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2022 |
Chen, Haipeng |
GENERATING ADVERSARIAL EXAMPLES WITH GRAPH NEURAL NETWORKS
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2022 |
Jaeckle, Florian |