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Balaraman Ravindran

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Papers (36)

  1. Generalized Random Surfer-Pair Models cs.SI · 2019 · author #2
  2. MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning cs.LG · 2019 · author #3
  3. Successor Options: An Option Discovery Framework for Reinforcement Learning cs.LG · 2019 · author #3
  4. Network Representation Learning: Consolidation and Renewed Bearing cs.LG · 2019 · author #11
  5. Edge Replacement Grammars: A Formal Language Approach for Generating Graphs cs.SI · 2019 · author #3
  6. Polyphonic Music Composition with LSTM Neural Networks and Reinforcement Learning cs.SD · 2019 · author #2
  7. Hypergraph Clustering: A Modularity Maximization Approach cs.LG · 2018 · author #5
  8. Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning cs.LG · 2018 · author #4
  9. Improvements on Hindsight Learning cs.LG · 2018 · author #4
  10. Fusion Graph Convolutional Networks cs.LG · 2018 · author #5
  11. HOPF: Higher Order Propagation Framework for Deep Collective Classification cs.LG · 2018 · author #5
  12. Language Expansion In Text-Based Games cs.CL · 2018 · author #4
  13. DiGrad: Multi-Task Reinforcement Learning with Shared Actions cs.LG · 2018 · author #5
  14. Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks cs.CV · 2018 · author #4
  15. Rate of Change Analysis for Interestingness Measures cs.LG · 2017 · author #4
  16. Efficient-UCBV: An Almost Optimal Algorithm using Variance Estimates cs.LG · 2017 · author #4
  17. Shared Learning : Enhancing Reinforcement in $Q$-Ensembles cs.LG · 2017 · author #2
  18. RAIL: Risk-Averse Imitation Learning cs.LG · 2017 · author #3
  19. Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning cs.LG · 2017 · author #4
  20. Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning cs.LG · 2017 · author #4
  21. Diversity driven Attention Model for Query-based Abstractive Summarization cs.CL · 2017 · author #4
  22. Thresholding Bandits with Augmented UCB cs.LG · 2017 · author #4
  23. DyVEDeep: Dynamic Variable Effort Deep Neural Networks cs.NE · 2017 · author #3
  24. Learning to Multi-Task by Active Sampling cs.NE · 2017 · author #4
  25. Exploration for Multi-task Reinforcement Learning with Deep Generative Models cs.AI · 2016 · author #3
  26. EPOpt: Learning Robust Neural Network Policies Using Model Ensembles cs.LG · 2016 · author #3
  27. HEMI: Hyperedge Majority Influence Maximization cs.SI · 2016 · author #2
  28. Linear Bandit algorithms using the Bootstrap stat.ML · 2016 · author #2
  29. Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning cs.CL · 2015 · author #4
  30. TSEB: More Efficient Thompson Sampling for Policy Learning cs.LG · 2015 · author #3
  31. A Reinforcement Learning Approach to Online Learning of Decision Trees cs.LG · 2015 · author #4
  32. Correlational Neural Networks cs.CL · 2015 · author #4
  33. Scalable Positional Analysis for Studying Evolution of Nodes in Networks cs.SI · 2014 · author #2
  34. An Autoencoder Approach to Learning Bilingual Word Representations cs.CL · 2014 · author #5
  35. Efficient Computation of the Shapley Value for Game-Theoretic Network Centrality cs.GT · 2014 · author #4
  36. Fractional Moments on Bandit Problems cs.LG · 2012 · author #2

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