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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LONGI, KRISTA |
DIFFERENTIALLY PRIVATE TOP-K SELECTION VIA STABILITY ON UNKNOWN DOMAIN
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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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HEWITT, LUKE |
NON PARAMETRIC GRAPH LEARNING FOR BAYESIAN GRAPH NEURAL NETWORKS
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PAL, SOUMYASUNDAR |
DERIVING BOUNDS AND INEQUALITY CONSTRAINTS USING LOGICAL RELATIONS AMONG COUNTERFACTUALS
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FINKELSTEIN, NOAM |
PERMUTATION-BASED CAUSAL STRUCTURE LEARNING WITH UNKNOWN INTERVENTION TARGETS
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SQUIRES, CHANDLER |
BATCH NORM WITH ENTROPIC REGULARIZATION TURNS DETERMINISTIC AUTOENCODERS INTO GENERATIVE MODELS
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GHOSE, AMUR |
FINITE-MEMORY NEAR-OPTIMAL LEARNING FOR MARKOV DECISION PROCESSES WITH LONG-RUN AVERAGE REWARD
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KRETINSKY, JAN |
MODEL-AUGMENTED CONDITIONAL MUTUAL INFORMATION ESTIMATION FOR FEATURE SELECTION
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YANG, ALAN |
ESTIMATION RATES FOR SPARSE LINEAR CYCLIC CAUSAL MODELS
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2021 |
HUETTER, JAN-CHRISTIAN |
DISTORTION ESTIMATES FOR APPROXIMATE BAYESIAN INFERENCE
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2021 |
XING, HANWEN |
AUTOMATED DEPENDENCE PLOTS
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2021 |
INOUYE, DAVID |
IMPROVED VECTOR PRUNING IN EXACT ALGORITHMS FOR SOLVING POMDPS
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2021 |
HANSEN, ERIC |
FLEXIBLE APPROXIMATE INFERENCE VIA STRATIFIED NORMALIZING FLOWS
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2021 |
CUNDY, CHRIS |