Publications

(2024). Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. Accepted at NeurIPS.

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(2024). VQ-TR: Vector Quantized Attention for Time Series Forecasting. International Conference on Learning Representations (ICLR).

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(2024). Low-rank MDPs with Continuous Action Spaces. International Conference on Artificial Intelligence and Statistics (AISTATS).

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(2024). Inference on strongly identified functionals of weakly identified functions. Major revision in JRSS:B.

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(2023). Future-Dependent Value-Based Off-Policy Evaluation in POMDPs. International Conference on Neural Information Processing Systems (NeurIPS).

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(2023). Source Condition Double Robust Inference on Functionals of Inverse Problems. arXiv preprint.

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(2023). Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness. Conference on Learning Theory (COLT).

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(2023). The Variational Method of Moments. Journal of the Royal Statistical Society Series B: Statistical Methodology (JRSS:B).

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(2023). Provable Safe Reinforcement Learning with Binary Feedback. International Conference on Artificial Intelligence and Statistics (AISTATS).

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(2021). Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data. The 3rd Workshop on Data Science for Social Good (DSSG-21).

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(2021). Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders. International Conference on Artificial Intelligence and Statistics (AISTATS).

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(2020). Efficient Policy Learning from Surrogate-Loss Classification Reductions. International Conference on Machine Learning (ICML).

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(2019). Policy Evaluation with Latent Confounders via Optimal Balance. Advances in Neural Information Processing Systems (NeurIPS).

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(2019). Deep Generalized Method of Moments for Instrumental Variable Analysis. Advances in Neural Information Processing Systems (NeurIPS).

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(2018). Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. Conference on Empirical Methods in Natural Language Processing (EMNLP).

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(2018). Preferred answer selection in stack overflow: Better text representations... and metadata, metadata, metadata. The 4th Workshop on Noisy User-generated Text (W-NUT), at EMNLP.

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(2018). Following High-level Navigation Instructions on a Simulated Quadcopter with Imitation Learning. Robotics: Science and Systems (RSS).

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(2018). Detecting Misflagged Duplicate Questions in Community Question-Answering Archives. The AAAI Conference on Web and Social Media (ICWSM).

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(2018). CHALET: Cornell House Agent Learning Environment. Technical Report.

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(2016). LexSemTM: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning. The Annual Meeting of the Association for Computational Linguistics (ACL).

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(2016). Unsupervised All-words Sense Distribution Learning. Masters Thesis.

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