NIPS 2014 was held in Montreal, Canada from 8th-13th December. Complete list of accepted papers is available here. Complete list of workshops is available here. The link to CrowdML’14 workshop at NIPS is available here.
Best Paper Awards
- Asymmetric LSH (ALSH) for Sublinear Time Maximum Inner Product Search (MIPS). Anshumali Shrivastava, Ping Li.
- A* Sampling. Chris J. Maddison, Daniel Tarlow, Tom Minka.
20 papers selected for oral presentation are available here.
Small Selection of Papers for CrowdML audience
Below is a small selection of papers that could be of interest to CrowdML audience:
- A Statistical Decision-Theoretic Framework for Social Choice.
- Shaping Social Activity by Incentivizing Users.
- Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing.
- Reputation-based Worker Filtering in Crowdsourcing.
- Restricted Boltzmann machines modeling human choice.
- Optimal Teaching for Limited-Capacity Human Learners.
- Causal Strategic Inference in Networked Microfinance Economies.
- Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers.
- Repeated Contextual Auctions with Strategic Buyers.
Papers on Multi-armed-bandits
Below is a small selection of papers related to Multi-armed-bandits:
- Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards.
- Combinatorial Pure Exploration of Multi-Armed Bandits.
- Efficient learning by implicit exploration in bandit problems with side observations.
- Bounded Regret for Finite-Armed Structured Bandits.
- Extreme bandits.
- The Blinded Bandit: Learning with Adaptive Feedback.