GRAPHICAL CONTINUOUS LYAPUNOV MODELS
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2021 |
VARANDO, GHERARDO |
DUELING POSTERIOR SAMPLING FOR PREFERENCE-BASED REINFORCEMENT LEARNING
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2021 |
NOVOSELLER, ELLEN |
BOUNDED RATIONALITY IN LAS VEGAS: PROBABILISTIC FINITE AUTOMATA PLAY MULTI-ARMED BANDITS
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2021 |
LIU, XINMING |
STABLE POLICY OPTIMIZATION VIA OFF-POLICY DIVERGENCE REGULARIZATION
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2021 |
TOUATI, AHMED |
PORB-NETS: POISSON PROCESS RADIAL BASIS FUNCTION NETWORKS
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2021 |
COKER, BEAU |
LOCALLY MASKED CONVOLUTION FOR AUTOREGRESSIVE MODELS
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2021 |
JAIN, AJAY |
TIME SERIES ANALYSIS USING A KERNEL BASED MULTI-MODAL UNCERTAINTY DECOMPOSITION FRAMEWORK
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2021 |
SINGH, RISHABH |
99% OF WORKER-MASTER COMMUNICATION IN DISTRIBUTED OPTIMIZATION IS NOT NEEDED
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2021 |
MISHCHENKO, KONSTANTIN |
STRUCTURE LEARNING FOR CYCLIC LINEAR CAUSAL MODELS
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2021 |
AMENDOLA, CARLOS |
SENSOR PLACEMENT FOR SPATIAL GAUSSIAN PROCESSES WITH INTEGRAL OBSERVATIONS
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2021 |
LONGI, KRISTA |
DIFFERENTIALLY PRIVATE TOP-K SELECTION VIA STABILITY ON UNKNOWN DOMAIN
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2021 |
CARVALHO, RICARDO SILVA |
FLEXIBLE PRIOR ELICITATION VIA THE PRIOR PREDICTIVE DISTRIBUTION
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2021 |
HARTMANN, MARCELO |
ON THE RELATIONSHIP BETWEEN PROBABILISTIC CIRCUITS AND DETERMINANTAL POINT PROCESSES
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2021 |
ZHANG, HONGHUA |
MUTUAL INFORMATION BASED KNOWLEDGE TRANSFER UNDER STATE-ACTION DIMENSION MISMATCH
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2021 |
WAN, MICHAEL |
EIGLASSO: SCALABLE ESTIMATION OF CARTESIAN PRODUCT OF SPARSE INVERSE COVARIANCE MATRICES
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2021 |
YOON, JUN HO |
LEARNING TO LEARN GENERATIVE PROGRAMS WITH MEMOISED WAKE-SLEEP
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2021 |
HEWITT, LUKE |
NON PARAMETRIC GRAPH LEARNING FOR BAYESIAN GRAPH NEURAL NETWORKS
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2021 |
PAL, SOUMYASUNDAR |
DERIVING BOUNDS AND INEQUALITY CONSTRAINTS USING LOGICAL RELATIONS AMONG COUNTERFACTUALS
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2021 |
FINKELSTEIN, NOAM |
ACTIVE MODEL ESTIMATION IN MARKOV DECISION PROCESSES
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2021 |
TARBOURIECH, JEAN |
POPULARITY AGNOSTIC EVALUATION OF KNOWLEDGE GRAPH EMBEDDINGS
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2021 |
MOHAMED, AISHA |