A Sample Complexity Separation between Non-Convex and Convex Meta-Learning. ICML 2020.
Differentially Private Meta-Learning. ICLR 2020.
Adaptive Gradient-Based Meta-Learning Methods. NeurIPS 2019.
A Theoretical Analysis of Contrastive Unsupervised Representation Learning. ICML 2019.
Provable Guarantees for Gradient-Based Meta-Learning. ICML 2019.
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors. ACL 2018.
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs. ICLR 2018.
A Large Self-Annotated Corpus for Sarcasm. LREC 2018.
Learning Cloud Dynamics to Optimize Spot Instance Bidding Strategies. INFOCOM 2018.
Automated WordNet Construction Using Word Embeddings. SENSE 2017.
Development and Application of a Multi-Fluid Simulation Code for Modeling Interpenetrating Plasmas. DPP 2015.
Mikhail Khodak, Richard L. Berger, Thomas Chapman, Jeffrey A. F. Hittinger.
Reducing Neutron Emission from Small Fusion Rocket Engines. IAC 2015.
Samuel A. Cohen, Michael Chu-Cheong, Russell Feder, Kevin Griffin, Mikhail Khodak, Jonathan Klabacha, Eric Meier, Sarah Newbury, Michael Palusczek.