[PDF] Top 20 Structured Prediction via Learning to Search under Bandit Feedback
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Structured Prediction via Learning to Search under Bandit Feedback
... ture; but then it uses a regression strategy to es- timate counterfactual costs of (some) other struc- tures that it did not predict. This variance reduc- tion technique (§2.2) is akin to doubly-robust esti- mation in ... See full document
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Learning to Stop in Structured Prediction for Neural Machine Translation
... BSO relies on unnormalized raw scores instead of locally-normalized probabilities to get rid of the label bias problem. However, since the raw score can be either positive or negative, the optimal stop- ping criteria ... See full document
6
Classical Structured Prediction Losses for Sequence to Sequence Learning
... reinforcement learning-style methods or by optimizing the ...for structured prediction and apply them to neural sequence to se- quence ...beam search optimiza- tion in a like for like ... See full document
10
Efficient Counterfactual Learning from Bandit Feedback
... Interactive bandit systems (e.g. personalized education and medicine, ad/news/recommendation/search platforms) pro- duce log data valuable for evaluating and redesigning the systems. For example, the logs ... See full document
8
Reliability and Learnability of Human Bandit Feedback for Sequence to Sequence Reinforcement Learning
... translations from German to English. The train- ing data contains 5.9M sentence pairs, the devel- opment data 2,999 sentences (WMT 2016 test set) and the test data 3,004 sentences. For in-domain data, we choose the ... See full document
12
Distilling Knowledge for Search based Structured Prediction
... the structured prediction models for multiple times, and that makes it less appli- cable in real-world ...NLL learning objective in Algorithm 1 into the distil- lation loss (Equation 1) as shown in ... See full document
10
Structured Prediction via Output Space Search
... for structured prediction based on search in the space of complete structured ...a structured input, an output is produced by running a time- bounded search procedure guided by a ... See full document
34
On Multilabel Classification and Ranking with Bandit Feedback
... consider structured action spaces, where the learner is allowed to select sets of actions, which is more suitable to multilabel and ranking ...function under both full and bandit information without ... See full document
37
A Search based Neural Model for Biomedical Nested and Overlapping Event Detection
... novel search-based neural event detection model that detects overlapping and nested events with beam search by formulating it as a structured prediction task for DAG ...by search- ing a ... See full document
8
Search based Structured Prediction applied to Biomedical Event Extraction
... over- prediction is more extreme in this case and renders the Theme assignment stage harder to ...joint learning of the classifiers ameliorates this issue and the event extraction performance is even- ... See full document
9
Structured Prediction Models via the Matrix Tree Theorem
... with structured data typically involves searching or summing over a set with an exponen- tial number of structured elements, for example the set of all parse trees for a given ... See full document
10
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
... Indirect feedback in form user clicks on displayed ads has been shown to be a valu- able feedback signal in response prediction for display advertising (Bottou et ...user feedback to predicted ... See full document
11
Bandit Structured Prediction for Neural Sequence to Sequence Learning
... dit learning objectives for structured prediction and apply them to various NLP tasks, including machine translation with linear ...inforcement learning to one-state Markov deci- sion ... See full document
11
Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback
... this learning framework has been com- bined with recurrent neural networks to solve ma- chine translation (Bahdanau et ...architecture search (Zoph and Le, 2017), and device place- ment (Mirhoseini et ... See full document
11
Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization
... batch learning from bandit feedback uses propensity scoring (Rosenbaum and Rubin, 1983) to derive unbiased estimators from the interaction logs (Bot- tou et ...picked via exhaustive ... See full document
25
Learning Structured Predictors from Bandit Feedback for Interactive NLP
... Structured prediction from partial information can be described by the following learning protocol: On each of a sequence of rounds, the learning al- gorithm makes a prediction, and ... See full document
11
Bandit Learning with Concurrent Transmissions for Energy-Efficient Flooding in Sensor Networks
... the feedback byte of the received data ...the feedback byte in its received data packet and forwards it in the following ...the feedback from its neighboring ... See full document
14
Feedback Session Based User Search Goal Prediction
... meta- search engine, which dynamically groups the search results into clusters labeled by phrases extracted from the ...a search engine, a list of related queries are ...that Search result ... See full document
5
Structured feedback on students’ concept maps: the proverbial path to learning?
... tured feedback or engagement with learning resources mediated the improvements noted in the structural and conceptual configuration of ...CMs. Learning is an active and dynamic process and results ... See full document
9
From structured to unstructured learning via a technology-mediated learning framework
... level learning is to acquire new knowledge, and sometimes to apply that knowledge practically, or in case ...content-based learning (CBL) and how we conceptualize the aims and objectives of course ... See full document
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