Regret Guarantees for Model-Based Reinforcement Learning with Long-term Average Constraints
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2023 |
Agarwal, Mridul |
Multi-Winner Approval Voting Goes Epistemic
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2023 |
Allouche, Tahar |
Inductive Synthesis of Finite-State Controllers for POMDPs
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2023 |
Andriushchenko, Roman |
Discovery of Extended Summary Graphs in Time Series
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2023 |
Assaad, Charles K. |
Equilibrium Aggregation: Encoding Sets Via Optimization
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2023 |
Bartunov, Sergey |
Robustness of Model Predictions Under Extension
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2023 |
Blom, Tineke |
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations
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2023 |
Chapfuwa, Paidamoyo |
On the Definition and Computation of Causal Treewidth
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2023 |
Chen, Yizuo |
Offline Reinforcement Learning Under Value and Density-Ratio Realizability: The Power of Gaps
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2023 |
Chen, Jinglin |
Greedy Modality Selection Via Approximate Submodular Maximization
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2023 |
Cheng, Runxiang |
Combating the Instability of Mutual Information-Based Losses Via Regularization
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2023 |
Choi, Kwanghee |
On Provably Robust meta-Bayesian Optimization
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2023 |
Dai, Zhongxiang |
Variational Message Passing Neural Network for Maximum-A-Posteriori (MAP) Inference
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2023 |
Cui, Zijun |
Bayesian Structure Learning with Generative Flow Networks
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2023 |
Deleu, Tristan |
Individual Fairness in Feature-Based Pricing for Monopoly Markets
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2023 |
Das, Shantanu |
Bayesian Spillover Graphs for Dynamic Networks
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2023 |
Deng, Grace |
Revisiting DP-Means: Fast Scalable Algorithms Via Parallelism and Delayed Cluster Creation
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2023 |
Dinari, Or |
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison
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2023 |
Hüllermeier, Eyke |
X-MEN: Guaranteed XOR-maximum Entropy Constrained Inverse Reinforcement Learning
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2023 |
Ding, Fan |
Improving Sign-Random-projection Via Count Sketch
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2023 |
Dubey, Punit Pankaj |