Haque Ishfaq

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All published works
Action Title Year Authors
+ PDF Chat More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling 2024 Haque Ishfaq
Yixin Tan
Yang Yu
Qingfeng Lan
Jianfeng Lu
A. Rupam Mahmood
Doina Precup
Pan Xu
+ PDF Chat Offline Multitask Representation Learning for Reinforcement Learning 2024 Haque Ishfaq
Thanh Nguyen-Tang
Songtao Feng
Raman Arora
Mengdi Wang
Ming Yin
Doina Precup
+ Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo 2023 Haque Ishfaq
Qingfeng Lan
Pan Xu
A. Rupam Mahmood
Doina Precup
Anima Anandkumar
Kamyar Azizzadenesheli
+ Randomized Exploration for Reinforcement Learning with General Value Function Approximation 2021 Haque Ishfaq
Qiwen Cui
Việt DĆ©ng Nguyễn
Alex Ayoub
Zhuoran Yang
Zhaoran Wang
Doina Precup
Lin F. Yang
+ Randomized Exploration for Reinforcement Learning with General Value Function Approximation 2021 Haque Ishfaq
Qiwen Cui
Việt Hưng Nguyễn
Alex Ayoub
Zhuoran Yang
Zhaoran Wang
Doina Precup
Lin F. Yang
+ Heuristics for Interpretable Knowledge Graph Contextualization. 2019 Kshitij P. Fadnis
Kartik Talamadupula
Pavan Kapanipathi
Haque Ishfaq
Salim Roukos
Achille Fokoue
+ Path-Based Contextualization of Knowledge Graphs for Textual Entailment 2019 Kshitij P. Fadnis
Kartik Talamadupula
Pavan Kapanipathi
Haque Ishfaq
Salim Roukos
Achille Fokoue
+ TVAE: Triplet-Based Variational Autoencoder using Metric Learning 2018 Haque Ishfaq
Assaf Hoogi
Daniel L. Rubin
+ TVAE: Triplet-Based Variational Autoencoder using Metric Learning 2018 Haque Ishfaq
Assaf Hoogi
Daniel L. Rubin
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Structured Sequence Modeling with Graph Convolutional Recurrent Networks 2018 Youngjoo Seo
Michaël Defferrard
Pierre Vandergheynst
Xavier Bresson
2
+ PDF Chat Learning Natural Language Inference with LSTM 2016 Shuohang Wang
Jing Jiang
2
+ PDF Chat Improving Natural Language Inference Using External Knowledge in the Science Questions Domain 2019 Xiaoyan Wang
Pavan Kapanipathi
Ryan Musa
Mo Yu
Kartik Talamadupula
Ibrahim Abdelaziz
Maria Chang
Achille Fokoue
Bassem Makni
Nicholas Mattei
2
+ PDF Chat Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models 2016 Iulian Vlad Serban
Alessandro Sordoni
Yoshua Bengio
Aaron Courville
Joëlle Pineau
2
+ PDF Chat Neural Natural Language Inference Models Enhanced with External Knowledge 2018 Chen Qian
Xiaodan Zhu
Zhen-Hua Ling
Diana Inkpen
Si Wei
2
+ Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation 2014 Kyunghyun Cho
Bart van Merriënboer
Çaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
2
+ Natural Language Inference by Tree-Based Convolution and Heuristic Matching 2016 Lili Mou
Rui Men
Ge Li
Yan Xu
Lu Zhang
Rui Yan
Zhi Jin
2
+ PDF Chat A Survey of Paraphrasing and Textual Entailment Methods 2010 Ion Androutsopoulos
Prodromos Malakasiotis
2
+ Contextual Decision Processes with Low Bellman Rank are PAC-Learnable 2016 Nan Jiang
Akshay Krishnamurthy
Alekh Agarwal
John Langford
Robert E. Schapire
1
+ Noisy Networks for Exploration 2017 Meire Fortunato
Mohammad Gheshlaghi Azar
Bilal Piot
Jacob Menick
Ian Osband
Alex Graves
Vlad Mnih
RĂ©mi Munos
Demis Hassabis
Olivier Pietquin
1
+ DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference 2018 Reza Ghaeini
Sadid A. Hasan
Vivek V. Datla
Joey Liu
Kathy Lee
Ashequl Qadir
Ling Yuan
Aaditya Prakash
Xiaoli Z. Fern
Oladimeji Farri
1
+ Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling 2018 Tao Shen
Tianyi Zhou
Guodong Long
Jing Jiang
Sen Wang
Chengqi Zhang
1
+ High-Dimensional Probability: An Introduction with Applications in Data Science 2018 Roman Vershynin
1
+ I Know What You Want: Semantic Learning for Text Comprehension 2018 Zhuosheng Zhang
Yuwei Wu
Zuchao Li
Shexia He
Hai Zhao
Xi Zhou
Xiang Zhou
1
+ Multi-Task Deep Neural Networks for Natural Language Understanding 2019 Xiaodong Liu
Pengcheng He
Weizhu Chen
Jianfeng Gao
1
+ A Decomposable Attention Model for Natural Language Inference 2016 Ankur P. Parikh
Oscar TÀckström
Dipanjan Das
Jakob Uszkoreit
1
+ A Hierarchical Neural Autoencoder for Paragraphs and Documents 2015 Jiwei Li
Minh-Thang Luong
Dan Jurafsky
1
+ Cross-modal Deep Metric Learning with Multi-task Regularization 2017 Xin Huang
Yuxin Peng
1
+ Breaking NLI Systems with Sentences that Require Simple Lexical Inferences 2018 Max Glockner
Vered Shwartz
Yoav Goldberg
1
+ A large annotated corpus for learning natural language inference 2015 Samuel R. Bowman
Gabor Angeli
Christopher Potts
Christopher D. Manning
1
+ Generalization and Exploration via Randomized Value Functions 2014 Ian Osband
Benjamin Van Roy
Zheng Wen
1
+ PDF Chat Deep Metric Learning via Lifted Structured Feature Embedding 2016 Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
1
+ Is Q-learning Provably Efficient? 2018 Chi Jin
Zeyuan Allen-Zhu
SĂ©bastien Bubeck
Michael I. Jordan
1
+ Complex Embeddings for Simple Link Prediction 2016 Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
1
+ RoBERTa: A Robustly Optimized BERT Pretraining Approach 2019 Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
Mike Lewis
Luke Zettlemoyer
Veselin Stoyanov
1
+ Worst-Case Regret Bounds for Exploration via Randomized Value Functions 2019 Daniel Russo
1
+ Optimism in Reinforcement Learning with Generalized Linear Function Approximation 2019 Yining Wang
Ruosong Wang
Simon S. Du
Akshay Krishnamurthy
1
+ Explicit Contextual Semantics for Text Comprehension 2018 Zhuosheng Zhang
Yuwei Wu
Zuchao Li
Hai Zhao
1
+ Model-Based Reinforcement Learning with Value-Targeted Regression 2020 Alex Ayoub
Zeyu Jia
Csaba SzepesvĂĄri
Mengdi Wang
Lin F. Yang
1
+ Model-Based Reinforcement Learning with Value-Targeted Regression 2020 Zeyu Jia
Lin F. Yang
Csaba SzepesvĂĄri
Mengdi Wang
Alex Ayoub
1
+ Stochastic Backpropagation and Approximate Inference in Deep Generative Models 2014 Danilo Jimenez Rezende
Shakir Mohamed
Daan Wierstra
1
+ Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective 2020 Dylan J. Foster
Alexander Rakhlin
David Simchi‐Levi
Yunzong Xu
1
+ PDF Chat Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration 2021 Priyank Agrawal
Jing‐Lin Chen
Nan Jiang
1
+ PDF Chat FaceNet: A unified embedding for face recognition and clustering 2015 Florian Schroff
Dmitry Kalenichenko
James Philbin
1
+ Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension 2020 Ruosong Wang
Ruslan Salakhutdinov
Lin F. Yang
1
+ Provably Efficient Reinforcement Learning with Linear Function Approximation 2019 Chi Jin
Zhuoran Yang
Zhaoran Wang
Michael I. Jordan
1
+ ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES 1933 W. R THOMPSON
1
+ Model-based Reinforcement Learning and the Eluder Dimension 2014 Ian Osband
Benjamin Van Roy
1
+ Reasoning about Entailment with Neural Attention 2015 Tim RocktÀschel
Edward Grefenstette
Karl Moritz Hermann
TomĂĄĆĄ KočiskĂœ
Phil Blunsom
1
+ Order-Embeddings of Images and Language 2015 Ivan Vendrov
Ryan Kiros
Sanja Fidler
Raquel Urtasun
1
+ Deep Exploration via Bootstrapped DQN 2016 Ian Osband
Charles Blundell
Alexander Pritzel
Benjamin Van Roy
1
+ Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention 2016 Yang Liu
Chengjie Sun
Lei Lin
Xiaolong Wang
1
+ Complex Embeddings for Simple Link Prediction 2016 Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
1