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Papers
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout
AISTATS 2020
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
NeurIPS 2019
An Imperfect Algorithm for Coalition Structure Generation
AAAI 2019
Connectionist Temporal Modeling of Video and Language: a Joint Model for Translation and Sign Labeling
IJCAI 2019
Counting Complexity for Reasoning in Abstract Argumentation
AAAI 2019
Exact Bernoulli Scan Statistics using Binary Decision Diagrams
IJCAI 2019
Generalized Maximum Entropy Estimation
JMLR 2019
Homomorphic Sensing
ICML 2019
Interpretable Almost-Exact Matching for Causal Inference
AISTATS 2019
Kernels for Sequentially Ordered Data
JMLR 2019
Label-Agnostic Sequence Labeling by Copying Nearest Neighbors
ACL 2019
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions
IJCAI 2019
Online Markov Decoding: Lower Bounds and Near-Optimal Approximation Algorithms
NeurIPS 2019
Optimal Completion Distillation for Sequence Learning
ICLR 2019
Optimizing Constraint Solving via Dynamic Programming
IJCAI 2019
Separator-Based Pruned Dynamic Programming for Steiner Tree
AAAI 2019
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm
ICML 2019
Split or Merge: Which is Better for Unsupervised RST Parsing?
EMNLP 2019
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
NeurIPS 2019
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition
AAAI 2019
An Efficient Pruning Algorithm for Robust Isotonic Regression
NeurIPS 2018
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems
ACML 2018
Compact Representation of Uncertainty in Clustering
NeurIPS 2018
Complexity of Scheduling Charging in the Smart Grid
IJCAI 2018
Connectionist Temporal Classification with Maximum Entropy Regularization
NeurIPS 2018