Kirill Struminsky
Recent Publications
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces (NeurIPS 2021)
- Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution (AAAI 2020)
- Low-variance Gradient Estimates for the Plackett-Luce Distribution (2019)
- The Deep Weight Prior (ICLR 2019)
- Quantifying Learning Guarantees for Convex but Inconsistent Surrogates (NeurIPS 2018)
- A New Approach for Sparse Bayesian Channel Estimation in SCMA Uplink Systems (2016)
- Robust Variational Inference (2016)