A NEURALLY PLAUSIBLE MODEL FOR ONLINE RECOGNITION AND POSTDICTION IN A DYNAMICAL ENVIRONMENT
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2020 |
Wenliang, Li Kevin |
EVALUATING PROTEIN TRANSFER LEARNING WITH TAPE
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2020 |
Rao, Roshan |
TOWARDS OPTIMAL OFF-POLICY EVALUATION FOR REINFORCEMENT LEARNING WITH MARGINALIZED IMPORTANCE SAMPLING
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2020 |
Xie, Tengyang |
DYNAMIC INCENTIVE-AWARE LEARNING: ROBUST PRICING IN CONTEXTUAL AUCTIONS
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2020 |
Golrezaei, Negin |
STOCHASTIC VARIANCE REDUCED PRIMAL DUAL ALGORITHMS FOR EMPIRICAL COMPOSITION OPTIMIZATION
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2020 |
Devraj, Adithya M |
AVERAGE CASE COLUMN SUBSET SELECTION FOR ENTRYWISE VXELL. 1-NORM LOSS
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2020 |
Song, Zhao |
DECENTRALIZED SKETCHING OF LOW RANK MATRICES
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2020 |
Srinivasa, Rakshith Sharma |
EFFICIENT FORWARD ARCHITECTURE SEARCH
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2020 |
Hu, Hanzhang |
SCALABLE BAYESIAN INFERENCE OF DENDRITIC VOLTAGE VIA SPATIOTEMPORAL RECURRENT STATE SPACE MODELS
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2020 |
Sun, Ruoxi |
CXPLAIN: CAUSAL EXPLANATIONS FOR MODEL INTERPRETATION UNDER UNCERTAINTY
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2020 |
Schwab, Patrick |
SEQUENTIAL NEURAL PROCESSES
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2020 |
Singh, Gautam |
TEMPORAL FILM: CAPTURING LONG-RANGE SEQUENCE DEPENDENCIES WITH FEATURE-WISE MODULATIONS
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2020 |
Birnbaum, Sawyer |
REGULARIZATION MATTERS: GENERALIZATION AND OPTIMIZATION OF NEURAL NETS V.S. THEIR INDUCED KERNEL
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2020 |
Wei, Colin |
CONVERGENCE-RATE-MATCHING DISCRETIZATION OF ACCELERATED OPTIMIZATION FLOWS THROUGH OPPORTUNISTIC STATE-TRIGGERED CONTROL
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2020 |
Vaquero, Miguel |
PRACTICAL TWO-STEP LOOKAHEAD BAYESIAN OPTIMIZATION
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2020 |
Wu, Jian |
A CONVEX RELAXATION BARRIER TO TIGHT ROBUSTNESS VERIFICATION OF NEURAL NETWORKS
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2020 |
Salman, Hadi |
NEURAL JUMP STOCHASTIC DIFFERENTIAL EQUATIONS
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2020 |
Jia, Junteng |
LEARNING METRICS FOR PERSISTENCE-BASED SUMMARIES AND APPLICATIONS FOR GRAPH CLASSIFICATION
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2020 |
Zhao, Qi |
WIDE FEEDFORWARD OR RECURRENT NEURAL NETWORKS OF ANY ARCHITECTURE ARE GAUSSIAN PROCESSES
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2020 |
Yang, Greg |
LEARNING TO LEARN BY SELF-CRITIQUE
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2020 |
Antoniou, Antreas |