Alexander Novikov
11 papers · 2014–2025 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(8)
Artificial Intelligence
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Reinforcement Learning
(5)
Core AI
(4)
Methods
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Optimization & Theory
(4)
Deep Learning
(3)
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Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Keywords
tensor decomposition
(3)
tensor train
(3)
offline reinforcement learning
(3)
batch reinforcement learning
(2)
neural network
(2)
robotic manipulation
(1)
policy optimization
(1)
deep reinforcement learning
(1)
policy learning
(1)
value function approximation
(1)
theoretical analysis
(1)
automatic differentiation
(1)
matrix factorization
(1)
low-rank approximation
(1)
partition function
(1)
variational inference
(1)
map inference
(1)
continuous control
(1)
gaussian process
(1)
benchmark suite
(1)
Papers
Discovering Symbolic Cognitive Models from Human and Animal Behavior
ICML 2025
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
Critic Regularized Regression
NeurIPS 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
NeurIPS 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Task-Relevant Adversarial Imitation Learning
CoRL 2020
Tensor Train Decomposition on TensorFlow (T3F)
JMLR 2020
Expressive power of recurrent neural networks
ICLR 2018
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
AISTATS 2018
Tensorizing Neural Networks
NeurIPS 2015
Putting MRFs on a Tensor Train
ICML 2014