Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Certified Defense to Image Transformations via Randomized Smoothing NeurIPS 2020 Certified Monotonic Neural Networks NeurIPS 2020 Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing ICLR 2020 Certified Robustness to Label-Flipping Attacks via Randomized Smoothing ICML 2020 Certifying Strategyproof Auction Networks NeurIPS 2020 Chaining Meets Chain Rule: Multilevel Entropic Regularization and Training of Neural Networks JMLR 2020 Chain Length and CSPs Learnable with Few Queries AAAI 2020 Channel Equilibrium Networks for Learning Deep Representation ICML 2020 Channel Pruning Guided by Classification Loss and Feature Importance AAAI 2020 Channel Pruning via Automatic Structure Search IJCAI 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe NeurIPS 2020 Checkpoint Reranking: An Approach to Select Better Hypothesis for Neural Machine Translation Systems ACL 2020 ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations AISTATS 2020 CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation NeurIPS 2020 Choosing the Sample with Lowest Loss makes SGD Robust AISTATS 2020 Circle Loss: A Unified Perspective of Pair Similarity Optimization CVPR 2020 Circuit-Based Intrinsic Methods to Detect Overfitting ICML 2020 Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability NeurIPS 2020 Classification with Valid and Adaptive Coverage NeurIPS 2020 Classifier Probes May Just Learn from Linear Context Features COLING 2020 Class-Weighted Classification: Trade-offs and Robust Approaches ICML 2020 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies ICML 2020 Closing the convergence gap of SGD without replacement ICML 2020 Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks IJCAI 2020