Co-occurring keywords · papers mentioning both
Papers
Variance Penalized On-Policy and Off-Policy Actor-Critic
AAAI 2021
Wasserstein Distributionally Robust Inverse Multiobjective Optimization
AAAI 2021
Bayesian Robust Optimization for Imitation Learning
NeurIPS 2020
Data-Driven Market-Making via Model-Free Learning
IJCAI 2020
Learning Robust Decision Policies from Observational Data
NeurIPS 2020
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization
JMLR 2020
Pessimism About Unknown Unknowns Inspires Conservatism
COLT 2020
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions
OSDI 2020
Semantic search with domain-specific word-embedding and production monitoring in Fintech
COLING 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms
AAAI 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract)
AAAI 2020
Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection
IJCAI 2020
Artificial Counselor System for Stock Investment
AAAI 2019
Budgeted Reinforcement Learning in Continuous State Space
NeurIPS 2019
Concentration Inequalities for Conditional Value at Risk
ICML 2019
Cost-Sensitive Learning to Rank
AAAI 2019
Forecasting Firm Material Events from 8-K Reports
EMNLP 2019
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
AAAI 2019
Measurement Maximizing Adaptive Sampling with Risk Bounding Functions
AAAI 2019
Offline Contextual Bandits with High Probability Fairness Guarantees
NeurIPS 2019
Real-Time Planning as Decision-Making under Uncertainty
AAAI 2019
Robust Online Matching with User Arrival Distribution Drift
AAAI 2019
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
NeurIPS 2018
AGI Safety Literature Review
IJCAI 2018