Conference

1. A. Roychowdhury and S. Parthasarathy, “Adaptive Bayesian Sampling with Monte Carlo EM”,
   In Proc. 30th Advances in Neural Information Processing Systems (NIPS), 2017. pdf supp bibtex arxiv
   Acceptance rate: 20.9%.
   
   

2. A. Roychowdhury and S. Parthasarathy, “Accelerated Stochastic Quasi-Newton Optimization on Riemannian Manifolds”, Submitted, 2017. arxiv
   
   

3. A. Roychowdhury, B. Kulis and S. Parthasarathy “Robust Monte Carlo Sampling with Riemannian Nosé-Poincaré Hamiltonian Dynamics”,
   In Proc. 33rd International Conference on Machine Learning (ICML), 2016. link bibtex
   Acceptance rate: 24.3%.
   
   

4. A. Roychowdhury and B. Kulis, “Gamma Processes, Stick-Breaking and Variational Inference”,
   In Proc. 18th International Conference on Artificial Intelligence and Statistics (AISTATS), 2015. arxiv link bibtex
   Acceptance rate: 26.7%.
   
   

5. A. Roychowdhury, K. Jiang and B. Kulis, “Small-Variance Asymptotics for Hidden Markov Models”,
   In Proc. 26th Advances in Neural Information Processing Systems (NIPS), 2013. link bibtex
   Acceptance rate: < 5% (spotlight).

Workshop

1. A. Roychowdhury and B. Kulis, “Gamma Processes, Stick-Breaking and Variational Inference”,
   In Workshop on Advances in Variational Inference at NIPS, 2014. link
   One of 6 spotlight talks out of 34 accepted submissions.