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2015

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Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization

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Mitigating risk in decision-making has been a longstanding problem. Due to the mathematical challenge of its nonlinear nature, especially in adaptive decisionmaking problems, ﬁn...

Darrell Hoy, Evdokia Nikolova

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Id	Views	Title	Status

1	50	Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization	claim
2	50	Best-Response Planning of Thermostatically Controlled Loads under Power Constraints	claim
3	48	Exploiting Submodular Value Functions for Faster Dynamic Sensor Selection	claim
4	44	Causal Inference via Sparse Additive Models with Application to Online Advertising	claim
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6	42	Active Learning for Informative Projection Retrieval	claim
7	41	Automatic Topic Discovery for Multi-Object Tracking	claim
8	41	Automated Analysis of Commitment Protocols Using Probabilistic Model Checking	claim
9	40	Loss-Calibrated Monte Carlo Action Selection	claim
10	39	Concurrent PAC RL	claim
11	39	Are Features Equally Representative? A Feature-Centric Recommendation	claim
12	39	Active Advice Seeking for Inverse Reinforcement Learning	claim
13	38	Large-Scale Multi-View Spectral Clustering via Bipartite Graph	claim
14	38	Model-Based Reinforcement Learning in Continuous Environments Using Real-Time Constrained Optimization	claim
15	37	An Entorhinal-Hippocampal Model for Simultaneous Cognitive Map Building	claim
16	37	Cognitive Social Learners: An Architecture for Modeling Normative Behavior	claim
17	37	Tartanian7: A Champion Two-Player No-Limit Texas Hold'em Poker-Playing Program	claim
18	36	Heuristic Induction of Rate-Based Process Models	claim
19	36	Content-Based Collaborative Filtering for News Topic Recommendation	claim
20	35	A Generalization of Sleep Sets Based on Operator Sequence Redundancy	claim
21	35	Perceiving Group Themes from Collective Social and Behavioral Information	claim
22	35	Binarisation via Dualisation for Valued Constraints	claim
23	35	Chinese Common Noun Phrase Resolution: An Unsupervised Probabilistic Model Rivaling Supervised Resolvers	claim
24	35	Analysis of Equilibria in Iterative Voting Schemes	claim
25	35	Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa	claim
26	34	Abstraction for Solving Large Incomplete-Information Games	claim
27	34	Acquiring Speech Transcriptions Using Mismatched Crowdsourcing	claim
28	34	Continuity Editing for 3D Animation	claim
29	33	Support Consistency of Direct Sparse-Change Learning in Markov Networks	claim
30	33	Initializing Bayesian Hyperparameter Optimization via Meta-Learning	claim
31	33	Towards Tractable and Practical ABox Abduction over Inconsistent Description Logic Ontologies	claim
32	33	An Unsupervised Framework of Exploring Events on Twitter: Filtering, Extraction and Categorization	claim
33	32	Visualization Techniques for Topic Model Checking	claim
34	32	UT Austin Villa 2014: RoboCup 3D Simulation League Champion via Overlapping Layered Learning	claim
35	31	High-Performance Distributed ML at Scale through Parameter Server Consistency Models	claim
36	31	Automatic Assessment of OCR Quality in Historical Documents	claim
37	31	Cupid: Commitments in Relational Algebra	claim
38	30	Splitting a Logic Program Revisited	claim
39	30	Improving Multi-Step Prediction of Learned Time Series Models	claim
40	30	Multimedia Data for the Visually Impaired	claim
41	30	Inertial Hidden Markov Models: Modeling Change in Multivariate Time Series	claim
42	30	Audit Games with Multiple Defender Resources	claim
43	30	Conducting Neuroscience to Guide the Development of AI	claim
44	30	Approximate MaxEnt Inverse Optimal Control and Its Application for Mental Simulation of Human Interactions	claim
45	30	Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners	claim
46	30	A Convex Formulation for Spectral Shrunk Clustering	claim
47	30	Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network	claim
48	30	Robust Subspace Clustering via Thresholding Ridge Regression	claim
49	29	Scaling-Up Inference in Markov Logic	claim
50	29	Policy Tree: Adaptive Representation for Policy Gradient	claim
51	29	Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System	claim
52	29	SCRAM: Scalable Collision-avoiding Role Assignment with Minimal-Makespan for Formational Positioning	claim
53	29	Assessing the Robustness of Cremer-McLean with Automated Mechanism Design	claim
54	29	Mining User Interests from Personal Photos	claim
55	29	SAT-Based Strategy Extraction in Reachability Games	claim
56	29	HACKAR: Helpful Advice for Code Knowledge and Attack Resilience	claim
57	29	Real-Time Symbolic Dynamic Programming	claim
58	28	Blended Planning and Acting: Preliminary Approach, Research Challenges	claim
59	28	Energy Disaggregation via Learning Powerlets and Sparse Coding	claim
60	28	Modeling with Node Degree Preservation Can Accurately Find Communities	claim
61	28	Integrating Image Clustering and Codebook Learning	claim
62	28	Burst Time Prediction in Cascades	claim
63	28	Consistent Knowledge Discovery from Evolving Ontologies	claim
64	28	A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis	claim
65	28	Knowledge Forgetting in Circumscription: A Preliminary Report	claim
66	28	Low-Rank Similarity Metric Learning in High Dimensions	claim
67	28	Inferring Same-As Facts from Linked Data: An Iterative Import-by-Query Approach	claim
68	28	Bayesian Maximum Margin Principal Component Analysis	claim
69	27	A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations	claim
70	27	Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks	claim
71	27	Action Language BC+: Preliminary Report	claim
72	27	A Faster Core Constraint Generation Algorithm for Combinatorial Auctions	claim
73	27	Bayesian Active Learning-Based Robot Tutor for Children's Word-Reading Skills	claim
74	27	Reusing Previously Found A* Paths for Fast Goal-Directed Navigation in Dynamic Terrain	claim
75	27	A Stochastic Model for Detecting Heterogeneous Link Communities in Complex Networks	claim
76	27	Pattern Decomposition with Complex Combinatorial Constraints: Application to Materials Discovery	claim
77	27	Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment	claim
78	26	Integrating Features and Similarities: Flexible Models for Heterogeneous Multiview Data	claim
79	26	Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser	claim
80	26	Robustness in Probabilistic Temporal Planning	claim
81	26	An Axiomatic Approach to Link Prediction	claim
82	26	Towards Knowledge-Driven Annotation	claim
83	26	Semantic Lexicon Induction from Twitter with Pattern Relatedness and Flexible Term Length	claim
84	26	Dealing with Trouble: A Data-Driven Model of a Repair Type for a Conversational Agent	claim
85	26	Learning Relational Kalman Filtering	claim
86	26	XPath for DL Ontologies	claim
87	26	Exploiting Task-Feature Co-Clusters in Multi-Task Learning	claim
88	26	Ranking with Recursive Neural Networks and Its Application to Multi-Document Summarization	claim
89	26	Better Be Lucky than Good: Exceeding Expectations in MDP Evaluation	claim
90	26	A Novel Neural Topic Model and Its Supervised Extension	claim
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92	25	CORPP: Commonsense Reasoning and Probabilistic Planning, as Applied to Dialog with a Mobile Robot	claim
93	25	Constructing Models of User and Task Characteristics from Eye Gaze Data for User-Adaptive Information Highlighting	claim
94	25	Algorithm Selection via Ranking	claim
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96	25	Relating Romanized Comments to News Articles by Inferring Multi-Glyphic Topical Correspondence	claim
97	25	A Goal-Based Model of Personality for Planning-Based Narrative Generation	claim
98	25	From Classical to Consistent Query Answering under Existential Rules	claim
99	25	Lower and Upper Bounds for SPARQL Queries over OWL Ontologies	claim
100	25	A Theoretical Analysis of Optimization by Gaussian Continuation	claim
101	25	On the Convergence of Iterative Voting: How Restrictive Should Restricted Dynamics Be?	claim
102	25	Hedonic Coalition Formation in Networks	claim
103	25	Compress and Control	claim
104	25	RAIN: Social Role-Aware Information Diffusion	claim
105	25	Inferring Latent User Properties from Texts Published in Social Media	claim
106	25	Handling Uncertainty in Answer Set Programming	claim
107	25	Solving and Explaining Analogy Questions Using Semantic Networks	claim
108	25	OMNI-Prop: Seamless Node Classification on Arbitrary Label Correlation	claim
109	25	Identifying At-Risk Students in Massive Open Online Courses	claim
110	25	On Computing Explanations in Argumentation	claim
111	25	Budgeted Prediction with Expert Advice	claim
112	25	Learning to Uncover Deep Musical Structure	claim
113	25	A Syntax-Independent Approach to Forgetting in Disjunctive Logic Programs	claim
114	25	Content-Aware Point of Interest Recommendation on Location-Based Social Networks	claim
115	24	Learning Plausible Inferences from Semantic Web Knowledge by Combining Analogical Generalization with Structured Logistic Regression	claim
116	24	Multivariate Conditional Anomaly Detection and Its Clinical Application	claim
117	24	Deep Representation Learning with Target Coding	claim
118	24	Measuring Plan Diversity: Pathologies in Existing Approaches and A New Plan Distance Metric	claim
119	24	Planned Protest Modeling in News and Social Media	claim
120	24	Pearl's Causality in a Logical Setting	claim
121	24	Contrastive Unsupervised Word Alignment with Non-Local Features	claim
122	24	Building Strong Semi-Autonomous Systems	claim
123	24	Dictionary Learning with Mutually Reinforcing Group-Graph Structures	claim
124	24	Visually Interpreting Names as Demographic Attributes by Exploiting Click-Through Data	claim
125	23	Probabilistic Attributed Hashing	claim
126	23	Spectral Clustering Using Multilinear SVD: Analysis, Approximations and Applications	claim
127	23	Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation	claim
128	23	Pathway Graphical Lasso	claim
129	23	Incorporating Assortativity and Degree Dependence into Scalable Network Models	claim
130	23	Deep Modeling Complex Couplings within Financial Markets	claim
131	23	Online Bayesian Models for Personal Analytics in Social Media	claim
132	23	Interactive Narrative Planning in The Best Laid Plans	claim
133	23	Maestoso: An Intelligent Educational Sketching Tool for Learning Music Theory	claim
134	23	FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments	claim
135	23	Colorization by Patch-Based Local Low-Rank Matrix Completion	claim
136	23	Strong Temporal Planning with Uncontrollable Durations: A State-Space Approach	claim
137	23	Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery	claim
138	22	Information Gathering and Reward Exploitation of Subgoals for POMDPs	claim
139	22	Time-Sensitive Opinion Mining for Prediction	claim
140	22	On Elementary Loops and Proper Loops for Disjunctive Logic Programs	claim
141	22	Fast Gradient Descent for Drifting Least Squares Regression, with Application to Bandits	claim
142	22	Learning to Mediate Perceptual Differences in Situated Human-Robot Dialogue	claim
143	22	Resilient Upgrade of Electrical Distribution Grids	claim
144	22	Learning Hybrid Models with Guarded Transitions	claim
145	22	Every Team Deserves a Second Chance: Identifying When Things Go Wrong (Student Abstract Version)	claim
146	22	What's Hot in the SAT and ASP Competitions	claim
147	22	Local Context Sparse Coding	claim
148	22	An SVD and Derivative Kernel Approach to Learning from Geometric Data	claim
149	22	Fast Convention Formation in Dynamic Networks Using Topological Knowledge	claim
150	22	Strong Bounds Consistencies and Their Application to Linear Constraints	claim
151	22	Exploring Information Asymmetry in Two-Stage Security Games	claim
152	22	The Network Data Repository with Interactive Graph Analytics and Visualization	claim
153	22	Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice	claim
154	21	Learning Predictable and Discriminative Attributes for Visual Recognition	claim
155	21	Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes	claim
156	21	Self-Paced Curriculum Learning	claim
157	21	Towards Cognitive Automation of Data Science	claim
158	21	Doubly Robust Covariate Shift Correction	claim
159	21	On Unconstrained Quasi-Submodular Function Optimization	claim
160	21	LARS: A Logic-Based Framework for Analyzing Reasoning over Streams	claim
161	21	Marginalized Denoising for Link Prediction and Multi-Label Learning	claim
162	21	Lifted Probabilistic Inference for Asymmetric Graphical Models	claim
163	21	Self-Paced Learning for Matrix Factorization	claim
164	21	Extending Analogical Generalization with Near-Misses	claim
165	21	Fair Information Sharing for Treasure Hunting	claim
166	21	Intelligent Agents for Rehabilitation and Care of Disabled and Chronic Patients	claim
167	21	Never-Ending Learning	claim
168	21	Going Beyond Literal Command-Based Instructions: Extending Robotic Natural Language Interaction Capabilities	claim
169	21	Tensor-Variate Restricted Boltzmann Machines	claim
170	21	Automatically Creating a Large Number of New Bilingual Dictionaries	claim
171	21	Tractable Interval Temporal Propositional and Description Logics	claim
172	21	Voting Rules As Error-Correcting Codes	claim
173	20	asprin: Customizing Answer Set Preferences without a Headache	claim
174	20	The Boundary Forest Algorithm for Online Supervised and Unsupervised Learning	claim
175	20	Limitations of Front-To-End Bidirectional Heuristic Search	claim
176	20	Solving Uncertain MDPs with Objectives that Are Separable over Instantiations of Model Uncertainty	claim
177	20	Exploiting Determinism to Scale Relational Inference	claim
178	20	Topical Word Embeddings	claim
179	20	Extracting Adverse Drug Reactions from Social Media	claim
180	20	VELDA: Relating an Image Tweet's Text and Images	claim
181	20	An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types	claim
182	20	Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing	claim
183	20	Aligning Mixed Manifolds	claim
184	20	Steering Evolution Strategically: Computational Game Theory and Opponent Exploitation for Treatment Planning, Drug Design, and Synthetic Biology	claim
185	20	Resolving Over-Constrained Probabilistic Temporal Problems through Chance Constraint Relaxation	claim
186	19	Planning Over Multi-Agent Epistemic States: A Classical Planning Approach	claim
187	19	Optimal Estimation of Multivariate ARMA Models	claim
188	19	The Extendable-Triple Property: A New CSP Tractable Class beyond BTP	claim
189	19	Multi-Document Summarization Based on Two-Level Sparse Representation Model	claim
190	19	Cooperative Game Solution Concepts that Maximize Stability under Noise	claim
191	19	Learning Entity and Relation Embeddings for Knowledge Graph Completion	claim
192	19	Existential Rule Languages with Finite Chase: Complexity and Expressiveness	claim
193	19	Relational Stacked Denoising Autoencoder for Tag Recommendation	claim
194	19	Solving Distributed Constraint Optimization Problems Using Logic Programming	claim
195	19	Factored Symmetries for Merge-and-Shrink Abstractions	claim
196	19	Scalable Planning and Learning for Multiagent POMDPs	claim
197	19	Extracting Bounded-Level Modules from Deductive RDF Triplestores	claim
198	18	Tighter Value Function Bounds for Bayesian Reinforcement Learning	claim
199	18	An Association Network for Computing Semantic Relatedness	claim
200	18	Pareto Ensemble Pruning	claim
201	18	Projection in the Epistemic Situation Calculus with Belief Conditionals	claim
202	18	Hierarchical Monte-Carlo Planning	claim
203	18	A Multi-Pass Sieve for Name Normalization	claim
204	18	Stable Model Counting and Its Application in Probabilistic Logic Programming	claim
205	18	Proximal Operators for Multi-Agent Path Planning	claim
206	18	Lazier Than Lazy Greedy	claim
207	18	Social Hierarchical Learning	claim
208	18	A Neural Probabilistic Model for Context Based Citation Recommendation	claim
209	18	Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web	claim
210	18	Cross-Modal Similarity Learning via Pairs, Preferences, and Active Supervision	claim
211	18	This Time the Robot Settles for a Cost: A Quantitative Approach to Temporal Logic Planning with Partial Satisfaction	claim
212	18	Refer-to-as Relations as Semantic Knowledge	claim
213	18	Optimizing Bag Features for Multiple-Instance Retrieval	claim
214	18	Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing	claim
215	18	A Comparison of Qualitative and Metric Spatial Relation Models for Scene Understanding	claim
216	17	Spontaneous Retrieval from Long-Term Memory for a Cognitive Architecture	claim
217	17	A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data	claim
218	17	Balanced Trade Reduction for Dual-Role Exchange Markets	claim
219	17	Learning Greedy Policies for the Easy-First Framework	claim
220	17	A Graphical Representation for Games in Partition Function Form	claim
221	17	Discretization of Temporal Models with Application to Planning with SMT	claim
222	17	Do Capacity Constraints Constrain Coalitions?	claim
223	17	Instance-Driven Ontology Evolution in DL-Lite	claim
224	17	Elementary School Science and Math Tests as a Driver for AI: Take the Aristo Challenge!	claim
225	17	The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits	claim
226	17	Heuristics and Symmetries in Classical Planning	claim
227	17	Leveraging Features and Networks for Probabilistic Tensor Decomposition	claim
228	17	Optimal Personalized Filtering Against Spear-Phishing Attacks	claim
229	17	Achieving Intelligence Using Prototypes, Composition, and Analogy	claim
230	17	Learning to Reject Sequential Importance Steps for Continuous-Time Bayesian Networks	claim
231	17	Parallelized Hitting Set Computation for Model-Based Diagnosis	claim
232	17	Approximating Optimal Social Choice under Metric Preferences	claim
233	17	FACES: Diversity-Aware Entity Summarization Using Incremental Hierarchical Conceptual Clustering	claim
234	17	Embedded Unsupervised Feature Selection	claim
235	16	A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing	claim
236	16	Dialogue Understanding in a Logic of Action and Belief	claim
237	16	Towards a Programmer's Apprentice (Again)	claim
238	16	Distributing Coalition Value Calculations to Coalition Members	claim
239	16	On the Impossibility of Convex Inference in Human Computation	claim
240	16	Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning	claim
241	16	Goal Recognition Design for Non-Optimal Agents	claim
242	16	Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information	claim
243	16	On Vectorization of Deep Convolutional Neural Networks for Vision Tasks	claim
244	16	Combining Compact Representation and Incremental Generation in Large Games with Sequential Strategies	claim
245	16	Unsupervised Phrasal Near-Synonym Generation from Text Corpora	claim
246	16	Incentivizing Users for Balancing Bike Sharing Systems	claim
247	16	An Improved Lower Bound for Bayesian Network Structure Learning	claim
248	16	Leveraging Common Structure to Improve Prediction across Related Datasets	claim
249	16	Complexity Results for Compressing Optimal Paths	claim
250	15	Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction	claim
251	15	Value-Directed Compression of Large-Scale Assignment Problems	claim
252	15	Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education	claim
253	15	R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection	claim
254	15	Massively Parallel A* Search on a GPU	claim
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256	15	Exploiting Parallelism for Hard Problems in Abstract Argumentation	claim
257	15	Incentives for Subjective Evaluations with Private Beliefs	claim
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263	14	Solving Games with Functional Regret Estimation	claim
264	14	Spatio-Spectral Exploration Combining In Situ and Remote Measurements	claim
265	14	An Exact Algorithm for Solving Most Relevant Explanation in Bayesian Networks	claim
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267	14	Exploiting the Structure of Distributed Constraint Optimization Problems	claim
268	14	Scalable and Interpretable Data Representation for High-Dimensional, Complex Data	claim
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270	14	Sampling Representative Users from Large Social Networks	claim
271	14	Lifting Model Sampling for General Game Playing to Incomplete-Information Models	claim
272	14	Predicting Emotion Perception Across Domains: A Study of Singing and Speaking	claim
273	14	Towards User-Adaptive Information Visualization	claim
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275	14	Learning Relational Sum-Product Networks	claim
276	14	Grounded Fixpoints	claim
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278	14	TDS+: Improving Temperature Discovery Search	claim
279	14	A Stackelberg Game Approach for Incentivizing Participation in Online Educational Forums with Heterogeneous Student Population	claim
280	13	Representing Aggregators in Relational Probabilistic Models	claim
281	13	A Logic for Reasoning About Game Strategies	claim
282	13	Nonparametric Scoring Rules	claim
283	13	Estimating Temporal Dynamics of Human Emotions	claim
284	13	Generalized Singular Value Thresholding	claim
285	13	Learning Word Representations from Relational Graphs	claim
286	13	Learning to Manipulate Unknown Objects in Clutter by Reinforcement	claim
287	13	HVAC-Aware Occupancy Scheduling	claim
288	13	Price Evolution in a Continuous Double Auction Prediction Market With a Scoring-Rule Based Market Maker	claim
289	13	Risk Based Optimization for Improving Emergency Medical Systems	claim
290	13	Submodular Surrogates for Value of Information	claim
291	13	A Probabilistic Model for Bursty Topic Discovery in Microblogs	claim
292	13	Ontology Module Extraction via Datalog Reasoning	claim
293	12	Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources	claim
294	12	Temporally Adaptive Restricted Boltzmann Machine for Background Modeling	claim
295	12	Tractability of Planning with Loops	claim
296	12	Phrase Type Sensitive Tensor Indexing Model for Semantic Composition	claim
297	12	Incremental Update of Datalog Materialisation: the Backward/Forward Algorithm	claim
298	12	Extracting Verb Expressions Implying Negative Opinions	claim
299	12	SMT-Based Nonlinear PDDL+ Planning	claim
300	12	Scheherazade: Crowd-Powered Interactive Narrative Generation	claim
301	12	A Planning-Based Assistance System for Setting Up a Home Theater	claim
302	12	Factored MCTS for Large Scale Stochastic Planning	claim
303	12	When Suboptimal Rules	claim
304	12	Egalitarian Collective Decision Making under Qualitative Possibilistic Uncertainty: Principles and Characterization	claim
305	12	Using Qualitative Spatial Logic for Validating Crowd-Sourced Geospatial Data	claim
306	11	SMT-Based Validation of Timed Failure Propagation Graphs	claim
307	11	A Sequence Labeling Approach to Deriving Word Variants	claim
308	11	Obtaining Well Calibrated Probabilities Using Bayesian Binning	claim
309	11	The Pricing War Continues: On Competitive Multi-Item Pricing	claim
310	11	Providing Arguments in Discussions Based on the Prediction of Human Argumentative Behavior	claim
311	11	Representation Discovery for MDPs Using Bisimulation Metrics	claim
312	11	From Non-Negative to General Operator Cost Partitioning	claim
313	11	On the Role of Canonicity in Knowledge Compilation	claim
314	11	Security Games with Protection Externalities	claim
315	11	Multi-Source Domain Adaptation: A Causal View	claim
316	11	Outlier-Robust Convex Segmentation	claim
317	10	Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation	claim
318	10	Toward Mobile Robots Reasoning Like Humans	claim
319	9	Recursive Best-First Search with Bounded Overhead	claim
320	8	Multi-Objective MDPs with Conditional Lexicographic Reward Preferences	claim
321	8	Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching	claim
322	7	Leveraging Social Foci for Information Seeking in Social Media	claim

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