Optimization

Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings NAACL 2021 Temporally Correlated Task Scheduling for Sequence Learning ICML 2021 Tensor Normal Training for Deep Learning Models NeurIPS 2021 Tent: Fully Test-Time Adaptation by Entropy Minimization ICLR 2021 Text Counterfactuals via Latent Optimization and Shapley-Guided Search EMNLP 2021 The balancing principle for parameter choice in distance-regularized domain adaptation NeurIPS 2021 The benefits of sharing: a cloud-aided performance-driven framework to learn optimal feedback policies L4DC 2021 The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition NeurIPS 2021 The complexity of nonconvex-strongly-concave minimax optimization UAI 2021 The Complexity of Object Association in Multiple Object Tracking AAAI 2021 The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers ICLR 2021 The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers EMNLP 2021 The DiCOVA 2021 Challenge — An Encoder-Decoder Approach for COVID-19 Recognition from Coughing Audio Interspeech 2021 The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks COLT 2021 The Fewer the Merrier: Pruning Preferred Operators with Novelty IJCAI 2021 The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization NeurIPS 2021 The Heavy-Tail Phenomenon in SGD ICML 2021 The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks ICML 2021 The Importance of Pessimism in Fixed-Dataset Policy Optimization ICLR 2021 The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities COLT 2021 The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets ICML 2021 The Limits of Optimal Pricing in the Dark NeurIPS 2021 The Lipschitz Constant of Self-Attention ICML 2021 The Lottery Ticket Hypothesis for Object Recognition CVPR 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021